Microsoft Azure Certification - United States

Developing Solutions for Microsoft Azure AZ-204 Course Outline

Module 1: Explore Azure App Service                          

• Introduction
• Examine Azure App Service
• Examine Azure App Service Plans
• Deploy to App Service
• Explore Authentication and Authorisation in App Service
• Discover App Service Networking Features
• Exercise: Create a Static HTML Web App by Using Azure Cloud Shell

Module 2: Configure Web App Settings

• Introduction
• Configure Application Settings
• Configure General Settings
• Configure Path Mappings
• Enable Diagnostic Logging
• Configure Security Certificates

Module 3: Scale Apps in Azure App Service

• Introduction
• Examine Autoscale Factors
• Identify Autoscale Factors
• Enable Autoscale in App Service
• Explore Autoscale Best Practices

Module 4: Explore Azure App Service Deployment Slots

• Introduction
• Explore Staging Environments
• Examine Slot Swapping
• Swap Deployment Slots
• Route Traffic in App Service

Module 5: Explore Azure Functions

• Introduction
• Discover Azure Functions
• Compare Azure Functions Hosting Options
• Scale Azure Functions

Module 6: Develop Azure Functions

• Introduction
• Explore Azure Functions Development
• Create Triggers and Bindings
• Connect Functions to Azure Services
• Exercise: Create an Azure Function by Using Visual Studio Code

Module 7: Explore Azure Blob Storage

• Introduction
• Explore Azure Blob Storage
• Discover Azure Blob Storage Resource Types
• Explore Azure Storage Security Features
• Discover Static Website Hosting in Azure Storage

Module 8: Manage the Azure Blob Storage lifecycle

• Introduction
• Explore the Azure Blob Storage Lifecycle
• Discover Blob Storage Lifecycle Policies
• Implement Blob Storage Lifecycle Policies
• Rehydrate Blob Data from the Archive Tier

Module 9: Work with Azure Blob Storage

• Introduction
• Explore Azure Blob Storage Client Library
• Create a Client Object
• Exercise: Create Blob Storage Resources by Using the .NET Client Library
• Manage Container Properties and Metadata by Using .NET
• Set and Retrieve Properties and Metadata for Blob Resources by Using REST

Module 10: Explore Azure Cosmos DB

• Introduction
• Identify Key Benefits of Azure Cosmos DB
• Explore the Resource Hierarchy
• Explore Consistency Levels
• Choose the Right Consistency Level
• Explore Supported APIs
• Discover Request Units
• Exercise: Create Azure Cosmos DB Resources by Using the Azure Portal

Module 11: Work with Azure Cosmos DB

• Introduction
• Explore Microsoft .NET SDK V3 for Azure Cosmos DB
• Exercise: Create Resources by Using the Microsoft .NET SDK V3
• Create Stored Procedures
• Create Triggers and User-Defined Functions
• Explore Change Feed in Azure Cosmos DB

Module 12: Manage Container Images in Azure Container Registry

• Introduction
• Discover the Azure Container Registry
• Explore Storage Capabilities
• Build and Manage Containers with Tasks
• Explore Elements of a Docker File
• Exercise: Build and Run a Container Image by Using Azure Container Registry Tasks

Module 13: Run Container Images in Azure Container Instances

• Introduction
• Explore Azure Container Instances
• Exercise - Deploy a Container Instance by Using the Azure CLI
• Run Containerised Tasks with Restart Policies
• Set Environment Variables in Container Instances
• Mount an Azure File Share in Azure Container Instances

Module 14: Implement Azure Container Apps

• Introduction
• Explore Azure Container Apps
• Exercise - Deploy A Container App
• Explore Containers in Azure Container Apps
• Implement Authentication and Authorization in Azure Container Apps
• Manage Revisions and Secrets in Azure Container Apps
• Explore Dapr Integration with Azure Container Apps

Module 15: Explore the Microsoft Identity Platform

• Introduction
• Explore the Microsoft Identity Platform
• Explore Service Principals
• Discover Permissions and Consent
• Discover Conditional Access

Module 16: Implement Authentication by Using the Microsoft Authentication Library

• Introduction
• Explore the Microsoft Authentication Library
• Initialise Client Applications
• Exercise - Implement Interactive Authentication by Using MSAL.NET

Module 17: Implement Shared Access Signatures

• Introduction
• Discover Shared Access Signatures
• Choose When to Use Shared Access Signatures
• Explore Stored Access Policies

Module 18: Explore Microsoft Graph

• Introduction
• Discover Microsoft Graph
• Query Microsoft Graph by Using REST
• Query Microsoft Graph by Using SDKs
• Apply Best Practices to Microsoft Graph

Module 19: Implement Azure Key Vault

• Introduction
• Explore Azure Key Vault
• Discover Azure Key Vault Best Practices
• Authenticate to Azure Key Vault
• Exercise: Set and Retrieve a Secret from Azure Key Vault by Using Azure CLI

Module 20: Implement Managed Identities

• Introduction
• Explore Managed Identities
• Discover the Managed Identities Authentication Flow
• Configure Managed Identities
• Acquire an Access Token

Module 21: Implement Azure App Configuration

• Introduction
• Explore the Azure App Configuration Service
• Create Paired Keys and Values
• Manage Application Features
• Secure App Configuration Data

Module 22: Explore API Management

• Introduction
• Discover the API Management service
• Explore API gateways
• Explore API Management policies
• Create advanced policies
• Secure APIs by using subscriptions
• Secure APIs by using certificates

Module 23: Explore Azure Event Grid

• Introduction
• Explore Azure Event Grid
• Discover Event Schemas
• Explore Event Delivery Durability
• Control Access to Events
• Receive Events by Using Webhooks
• Filter Events
• Exercise - Route Custom Events to Web Endpoint by Using Azure CLI

Module 24: Explore Azure Event Hubs

• Introduction
• Discover Azure Event Hubs
• Explore Event Hubs Capture
• Scale your Processing Application
• Control Access to Events
• Perform Common Operations with the Event Hubs Client Library

Module 25: Discover Azure Message Queues

• Introduction
• Choose a Message Queue Solution
• Explore Azure Service Bus
• Discover Service Bus Queues, Topics, and Subscriptions
• Explore Service Bus Message Payloads and Serialisation
• Exercise: Send and Receive Messages from a Service Bus Queue by Using .NET
• Explore Azure Queue Storage
• Create and Manage Azure Queue Storage and Messages by Using .NET

Module 26: Monitor App Performance

• Explore Application Insights
• Discover Log-Based Metrics
• Instrument an App for Monitoring
• Select an Availability Test
• Troubleshoot App Performance by Using Application Map

Module 27: Develop for Azure Cache for Redis

• Explore Azure Cache for Redis
• Configure Azure Cache for Redis
• Interact with Azure Cache for Redis by using .NET
• Exercise - Connect an app to Azure Cache for Redis by using .NET Core

Module 28: Develop for Storage on CDNs

• Explore Azure Content Delivery Networks
• Control cache behaviour on Azure Content Delivery Networks
• Interact with Azure Content Delivery Networks by using .NET

Designing and Implementing Microsoft DevOps Solutions AZ400 Course Outline

MODULE 1: Introduction to DevOps

• Introduction
• What is DevOps?
• Explore the DevOps journey
• Identify transformation teams
• Explore shared goals and define timelines
• Knowledge check
• Summary

MODULE 2: Choose the right project

• Introduction
• Explore greenfield and brownfield projects
• Decide when to use greenfield and brownfield projects
• Decide when to use systems of record versus systems of engagement
• Identify groups to minimise initial resistance
• Identify project metrics and key performance indicators (KPIs)
• Knowledge check
• Summary

MODULE 3: Describe team structures

• Introduction
• Explore agile development practices
• Explore principles of agile development
• Define organisation structure for agile practices
• Explore ideal DevOps team members
• Enable in-team and cross-team collaboration
• Select tools and processes for agile practices
• Knowledge check
• Summary

MODULE 4: Choose the DevOps tools

• Introduction
• What is Azure DevOps?
• What is GitHub?
• Explore an authorisation and access strategy
• Migrate or integrate existing work management tools
• Migrate or integrate existing test management tools
• Design a license management strategy
• Knowledge check
• Summary

MODULE 5: Plan Agile with GitHub Projects and Azure Boards

• Introduction
• Introduction to GitHub Projects and Project boards
• Introduction to Azure Boards
• Link GitHub to Azure Boards
• Configure GitHub Projects
• Manage work with GitHub Project boards
• Customise Project views
• Collaborate using team discussions
• Agile Plan and Portfolio Management with Azure Boards
• Knowledge check
• Summary

MODULE 6: Introduction to source control

• Introduction
• Explore DevOps foundational practices
• What is source control?
• Explore benefits of source control
• Explore best practices for source control
• Knowledge check
• Summary

MODULE 7: Describe types of source control systems

• Introduction
• Understand centralised source control
• Understand distributed source control
• Explore Git and Team Foundation Version Control
• Examine and choose Git
• Understand objections to using Git
• Describe working with Git locally
• Knowledge check
• Summary

MODULE 8: Work with Azure Repos and GitHub

• Introduction
• Introduction to Azure Repos
• Introduction to GitHub
• Migrate from TFVC to Git
• Use GIT-TFS
• Develop online with GitHub Codespaces
• Knowledge check
• Summary

MODULE 9: Structure your Git Repo

• Introduction
• Explore monorepo versus multiple repos
• Implement a change log
• Knowledge check
• Summary

MODULE 10: Manage Git branches and workflows

• Introduction
• Explore branch workflow types
• Explore feature branch workflow
• Explore Git branch model for continuous delivery
• Explore GitHub flow
• Explore fork workflow
• Version Control with Git in Azure Repos
• Knowledge check
• Summary

MODULE 11: Collaborate with pull requests in Azure Repos

• Introduction
• Collaborate with pull requests
• Exercise - Azure Repos collaborating with pull requests
• Examine GitHub mobile for pull request approvals
• Knowledge check
• Summary

MODULE 12: Identify technical debt

• Introduction
• Examine code quality
• Examine complexity and quality metrics
• Introduction to technical debt
• Measure and manage technical debt
• Integrate other code quality tools
• Plan effective code reviews
• Knowledge check
• Summary

MODULE 13: Explore Git hooks

• Introduction
• Introduction to Git hooks
• Implement Git hooks
• Knowledge check
• Summary

MODULE 14: Plan foster inner source

• Introduction
• Explore foster inner source
• Implement the fork workflow
• Describe inner source with forks
• Knowledge check
• Summary

MODULE 15: Manage Git repositories

• Introduction
• Work with large repositories
• Purge repository data
• Manage releases with GitHub Repos
• Automate release notes with GitHub
• Knowledge check
• Summary

MODULE 16: Explore Azure Pipelines

• Introduction
• Explore the concept of pipelines in DevOps
• Describe Azure Pipelines
• Understand Azure Pipelines key terms
• Knowledge check
• Summary

MODULE 17: Manage Azure Pipeline agents and pools

• Introduction
• Choose between Microsoft-hosted versus self-hosted agents
• Explore job types
• Introduction to agent pools
• Explore predefined agent pool
• Understand typical situations for agent pools
• Communicate with Azure Pipelines
• Communicate to deploy to target servers
• Examine other considerations
• Describe security of agent pools
• Configure agent pools and understanding pipeline styles
• Knowledge check
• Summary

MODULE 18: Describe pipelines and concurrency

• Introduction
• Understand parallel jobs
• Estimate parallel jobs
• Describe Azure Pipelines and open-source projects
• Explore Azure Pipelines and Visual Designer
• Describe Azure Pipelines and YAML
• Knowledge check
• Summary

MODULE 19: Explore continuous integration

• Introduction
• Introduction to continuous integration
• Learn the four pillars of continuous integration
• Explore benefits of continuous integration
• Describe build properties
• Enable Continuous Integration with Azure Pipelines
• Knowledge check
• Summary

MODULE 20: Implement a pipeline strategy

• Introduction
• Configure agent demands
• Implement multi-agent builds
• Explore source control types supported by Azure Pipelines
• Knowledge check
• Summary

MODULE 21: Integrate with Azure Pipelines

• Introduction
• Describe the anatomy of a pipeline
• Understand the pipeline structure
• Detail templates
• Explore YAML resources
• Use multiple repositories in your pipeline
• Knowledge check
• Summary

MODULE 22: Introduction to GitHub Actions

• Introduction
• What are Actions?
• Explore Actions flow
• Understand workflows
• Describe standard workflow syntax elements
• Explore events
• Explore jobs
• Explore runners
• Examine release and test an action
• Knowledge check
• Summary

MODULE 23: Learn continuous integration with GitHub Actions

• Introduction
• Describe continuous integration with actions
• Examine environment variables
• Share artifacts between jobs
• Examine Workflow badges
• Describe best practices for creating actions
• Mark releases with Git tags
• Create encrypted secrets
• Use secrets in a workflow
• Implement GitHub Actions for CI/CD
• Knowledge check
• Summary

MODULE 24: Design a container build strategy

• Introduction
• Examine structure of containers
• Work with Docker containers
• Understand Dockerfile core concepts
• Examine multi-stage dockerfiles
• Examine considerations for multiple stage builds
• Explore Azure container-related services
• Deploy Docker containers to Azure App Service web apps
• Knowledge check
• Summary

MODULE 25: Introduction to continuous delivery

• Introduction
• Explore traditional IT development cycle
• What is continuous delivery?
• Move to continuous delivery
• Understand releases and deployments
• Understand release process versus release
• Knowledge check
• Summary

MODULE 26: Create a release pipeline

• Introduction
• Describe Azure DevOps release pipeline capabilities
• Explore release pipelines
• Explore artifact sources
• Choose the appropriate artifact source
• Exercise - select an artifact source
• Examine considerations for deployment to stages
• Exercise - set up stages
• Explore build and release tasks
• Explore custom build and release tasks
• Explore release jobs
• Configure Pipelines as Code with YAML
• Knowledge check
• Summary

MODULE 27: Explore release recommendations

• Introduction
• Understand the delivery cadence and three types of triggers
• Exercise - select your delivery and deployment cadence
• Explore release approvals
• Exercise - set up manual approvals
• Explore release gates
• Use release gates to protect quality
• Control Deployments using Release Gates
• Knowledge check
• Summary

MODULE 28: Provision and test environments

• Introduction
• Provision and configure target environments
• Exercise - set up service connections
• Configure automated integration and functional test automation
• Understand Shift-left
• Set up and run availability tests
• Explore Azure Load Testing
• Set up and run functional tests
• Knowledge check
• Summary

MODULE 29: Manage and modularise tasks and templates

• Introduction
• Examine task groups
• Exercise - create and manage task groups
• Explore variables in release pipelines
• Understand variable groups
• Exercise - create and manage variable groups
• Knowledge check
• Summary

MODULE 30: Automate inspection of health

• Introduction
• Automate inspection of health
• Explore events and notifications
• Explore service hooks
• Exercise - set up service hooks to monitor the pipeline
• Configure Azure DevOps notifications
• Configure GitHub notifications
• Explore how to measure quality of your release process
• Examine release notes and documentation
• Examine considerations for choosing release management tools
• Explore common release management tools
• Knowledge check
• Summary

MODULE 31: Introduction to deployment patterns

• Introduction
• Explore microservices architecture
• Examine classical deployment patterns
• Understand modern deployment patterns
• Knowledge check
• Summary

MODULE 32: Implement blue-green deployment and feature toggles

• Introduction
• What is blue-green deployment?
• Explore deployment slots
• Exercise - set up a blue-green deployment
• Introduction to feature toggles
• Describe feature toggle maintenance
• Knowledge check
• Summary

MODULE 33: Implement canary releases and dark launching

• Introduction
• Explore canary releases
• Examine Traffic Manager
• Understand dark launching
• Knowledge check
• Summary

MODULE 34: Implement A/B testing and progressive exposure deployment

• Introduction
• What is A/B testing?
• Explore CI-CD with deployment rings
• Exercise - Ring-based deployment
• Knowledge check
• Summary

MODULE 35: Integrate with identity management systems

• Introduction
• Integrate GitHub with single sign-on (SSO)
• Explore service principals
• Explore Managed Identity
• Knowledge check
• Summary

MODULE 36: Manage application configuration data

• Introduction
• Rethink application configuration data
• Explore separation of concerns
• Understand external configuration store patterns
• Introduction to Azure App Configuration
• Examine Key-value pairs
• Examine App configuration feature management
• Integrate Azure Key Vault with Azure Pipelines
• Manage secrets, tokens and certificates
• Examine DevOps inner and outer loop
• Integrate Azure Key Vault with Azure DevOps
• Enable Dynamic Configuration and Feature Flags
• Knowledge check
• Summary

MODULE 37: Explore infrastructure as code and configuration management

• Introduction
• Explore environment deployment
• Examine environment configuration
• Understand imperative versus declarative configuration
• Understand idempotent configuration
• Knowledge check
• Summary

MODULE 38: Create Azure resources using Azure Resource Manager templates

• Introduction
• Why use Azure Resource Manager templates?
• Explore template components
• Manage dependencies
• Modularise templates
• Manage secrets in templates
• Deployments using Azure Bicep templates
• Knowledge check
• Summary

MODULE 39: Create Azure resources by using Azure CLI

• Introduction
• What is Azure CLI?
• Work with Azure CLI
• Exercise - Run templates using Azure CLI
• Knowledge check
• Summary

MODULE 40: Explore Azure Automation with DevOps

• Introduction
• Create automation accounts
• What is a runbook?
• Understand automation shared resources
• Explore runbook gallery
• Examine webhooks
• Explore source control integration
• Explore PowerShell workflows
• Create a workflow
• Explore hybrid management
• Exercise - Create and run a workflow runbook
• Examine checkpoint and parallel processing
• Knowledge check
• Summary

MODULE 41: Implement Desired State Configuration (DSC)

• Introduction
• Understand configuration drift
• Explore Desired State Configuration (DSC)
• Explore Azure Automation State configuration (DSC)
• Examine DSC configuration file
• Exercise - Import and compile
• Exercise - Onboard machines for management
• Explore hybrid management
• Implement DSC and Linux Automation on Azure
• Knowledge check
• Summary

MODULE 42: Implement Bicep

• Introduction
• What is Bicep?
• Install Bicep
• Exercise - Create Bicep templates
• Understand Bicep file structure and syntax
• Exercise - Deploy a Bicep file from Azure Pipelines
• Exercise - Deploy a Bicep file from GitHub workflows
• Knowledge check
• Summary

MODULE 43: Introduction to Secure DevOps

• Introduction
• Describe SQL injection attack
• Understand DevSecOps
• Explore Secure DevOps Pipeline
• Explore key validation points
• Explore continuous security validation
• Understand threat modeling
• Exercise threat modeling
• Knowledge check
• Summary

MODULE 44: Implement open-source software

• Introduction
• Explore how software is built
• What is open-source software
• Explore corporate concerns with open-source software components
• Introduction to open-source licenses
• Explore common open-source licenses
• Examine license implications and ratings
• Knowledge check
• Summary

MODULE 45: Software Composition Analysis

• Introduction
• Inspect and validate code bases for compliance
• Explore software composition analysis (SCA)
• Integrate Mend with Azure Pipelines
• Implement GitHub Dependabot alerts and security updates
• Integrate software composition analysis checks into pipelines
• Examine tools for assess package security and license rate
• Interpret alerts from scanner tools
• Implement security and compliance in an Azure Pipeline
• Knowledge check
• Summary

MODULE 46: Static analysers

• Introduction
• Explore SonarCloud
• Explore CodeQL in GitHub
• Manage technical debt with SonarCloud and Azure DevOps
• Knowledge check
• Summary

MODULE 47: OWASP and Dynamic Analysers

• Introduction
• Plan Implement OWASP Secure Coding Practices
• Explore OWASP ZAP penetration test
• Explore OWASP ZAP results and bugs
• Knowledge check
• Summary

MODULE 48: Security Monitoring and Governance

• Introduction
• Implement pipeline security
• Explore Microsoft Defender for Cloud
• Examine Microsoft Defender for Cloud usage scenarios
• Explore Azure Policy
• Understand policies
• Explore initiatives
• Explore resource locks
• Explore Azure Blueprints
• Understand Microsoft Defender for Identity
• Knowledge check
• Summary

MODULE 49: Explore package dependencies

• Introduction
• What is dependency management?
• Describe elements of a dependency management strategy
• Identify dependencies
• Understand source and package componentisation
• Decompose your system
• Scan your codebase for dependencies
• Knowledge check
• Summary

MODULE 50: Understand package management

• Introduction
• Explore packages
• Understand package feeds
• Explore package feed managers
• Explore common public package sources
• Explore self-hosted and SaaS based package sources
• Consume packages
• Introduction to Azure Artifacts
• Publish packages
• Package management with Azure Artifacts
• Knowledge check
• Summary

MODULE 51: Migrate consolidating and secure artifacts

• Introduction
• Identify existing artifact repositories
• Migrate and integrating artifact repositories
• Secure access to package feeds
• Examine roles
• Examine permissions
• Examine authentication
• Knowledge check
• Summary

MODULE 52: Implement a versioning strategy

• Introduction
• Understand versioning of artifacts
• Explore semantic versioning
• Examine release views
• Promote packages
• Exercise - Promote a package
• Explore best practices for versioning
• Exercise - Push from the pipeline
• Knowledge check
• Summary

MODULE 53: Introduction to GitHub Packages

• Introduction
• Publish packages
• Install a package
• Delete and restore a package
• Explore package access control and visibility
• Knowledge check
• Summary

MODULE 54: Implement tools to track usage and flow

• Introduction
• Understand the inner loop
• Introduction to continuous monitoring
• Explore Azure Monitor and Log Analytics
• Examine Kusto Query Language (KQL)
• Explore Application Insights
• Implement Application Insights
• Exercise - Add Application Insights to an ASP.NET core application
• Monitor application performance with Application Insights
• Knowledge check
• Summary

MODULE 55: Develop monitor and status dashboards

• Introduction
• Explore Azure Dashboards
• Examine view designer in Azure Monitor
• Explore Azure Monitor workbooks
• Explore Power BI
• Build your own custom application
• Knowledge check
• Summary

MODULE 56: Share knowledge within teams

• Introduction
• Share acquired knowledge within development teams
• Introduction to Azure DevOps project wikis
• Integrate with Azure Boards
• Share team knowledge using Azure Project Wiki
• Knowledge check
• Summary

MODULE 57: Design processes to automate application analytics

• Introduction
• Explore rapid responses and augmented search
• Integrate telemetry
• Examine monitoring tools and technologies
• Knowledge check
• Summary

MODULE 58: Manage alerts, blameless retrospectives and a just culture

• Introduction
• Examine when get a notification
• Explore how to fix it
• Explore smart detection notifications
• Improve performance
• Understand server response time degradation
• Reduce meaningless and non-actionable alerts
• Examine blameless retrospective
• Develop a just culture
• Knowledge check
• Summary

Microsoft Azure Security Technologies AZ-500 Course Outline

Module 1: Manage Identities in Microsoft Entra ID

• What is Microsoft Entra ID?
• Secure Microsoft Entra Users
• Create a New User in Microsoft Entra ID
• Secure Microsoft Entra Groups
• Recommend when to use External Identities
• Secure External Identities
• Implement Microsoft Entra Identity Protection

Module 2: Manage Authentication by using Microsoft Entra ID

• Microsoft Entra Connect
• Microsoft Entra Cloud Sync
• Authentication Options
• Password Hash Synchronization with Microsoft Entra ID
• Microsoft Entra Pass-through Authentication
• Federation with Microsoft Entra ID
• What is Microsoft Entra Authentication?
• Implement Multifactor Authentication (MFA)
• Passwordless Authentication Options for Microsoft Entra ID
• Implement Passwordless Authentication
• Implement Password Protection
• Microsoft Entra ID Single Sign-on
• Implement Single Sign-on (SSO)
• Integrate Single Sign-on (SSO) and Identity Providers
• Introduction to Microsoft Entra Verified ID
• Configure Microsoft Entra Verified ID
• Recommend and Enforce Modern Authentication Protocols

Module 3: Manage Authorization by using Microsoft Entra ID

• Azure Management Groups
• Configure Azure Role Permissions for Management Groups, Subscriptions, Resource Groups, And Resources
• Azure Role-Based Access Control
• Azure Built-In Roles
• Assign Azure Role Permissions for Management Groups, Subscriptions, Resource Groups, And Resources
• Microsoft Entra Built-In Roles
• Assign Built-In Roles in Microsoft Entra ID
• Microsoft Entra Role-Based Access Control
• Create and Assign a Custom Role in Microsoft Entra ID
• Microsoft Entra Permissions Management
• Implement and Manage Microsoft Entra Permissions Management
• Zero Trust Security
• Microsoft Entra Privileged Identity Management
• Configure Privileged Identity Management
• Microsoft Entra ID Governance
• Entitlement Management
• Access Reviews
• Identity Lifecycle Management
• Lifecycle Workflows
• Delegation and Roles in Entitlement Management
• Configure Role Management and Access Reviews by Using Microsoft Entra ID Governance
• Implement Conditional Access Policies

Module 4: Manage Application Access in Microsoft Entra ID

• Manage Access to Enterprise Applications in Microsoft Entra ID, Including Oauth Permission Grants
• Manage App Registrations in Microsoft Entra ID
• Configure App Registration Permission Scopes
• Manage App Registration Permission Consent
• Manage and Use Service Principals
• Manage Managed Identities for Azure Resources
• Recommend When to Use and Configure A Microsoft Entra Application Proxy, Including Authentication

Module 5: Plan and Implement Security for Virtual Networks

• What is an Azure Virtual Network?
• Plan and Implement Network Security Groups (Nsgs) And Application Security Groups (Asgs)
• Plan and Implement User-Defined Routes (Udrs)
• Plan and Implement Virtual Network Peering or Gateway
• Plan and Implement Virtual Wide Area Network, Including Secured Virtual Hub
• Secure VPN Connectivity, Including Point-To-Site and Site-To-Site
• Azure Expressroute
• Implement Encryption Over Expressroute
• Configure Firewall Settings on Paas Resources
• Monitor Network Security by Using Network Watcher, Including Network Security Groups

Module 6: Plan and Implement Security for Private Access to Azure Resources

• Plan and Implement Virtual Network Service Endpoints
• Plan and Implement Private Endpoints
• Plan and Implement Private Link Services
• Plan and Implement Network Integration for Azure App Service and Azure Functions
• Plan and Implement Network Security Configurations for An App Service Environment (ASE)
• Plan and Implement Network Security Configurations for An Azure SQL Managed Instance

Module 7: Plan and Implement Security for Public Access to Azure Resources

• Plan and Implement Transport Layer Security (TLS) To Applications, Including Azure App Service and API Management
• Plan, Implement, And Manage an Azure Firewall, Azure Firewall Manager and Firewall Policies
• Plan and Implement an Azure Application Gateway
• Plan and Implement a Web Application Firewall (WAF)
• Plan and Implement an Azure Front Door, Including Content Delivery Network (CDN)
• Recommend When to Use Azure Ddos Protection Standard

Module 8: Plan and Implement Advanced Security for Compute

• Plan and Implement Remote Access to Public Endpoints, Azure Bastion and Just-In-Time (JIT) Virtual Machine (VM) Access
• What Is Azure Kubernetes Service?
• Configure Network Isolation for Azure Kubernetes Service (AKS)
• Secure and Monitor Azure Kubernetes Service
• Configure Authentication for Azure Kubernetes Service
• Configure Security for Azure Container Instances (Acis)
• Configure Security for Azure Container Apps (Acas)
• Manage Access to Azure Container Registry (ACR)
• Configure Disk Encryption, Azure Disk Encryption (ADE), Encryption as Host, And Confidential Disk Encryption
• Recommend Security Configurations for Azure API Management

Module 9: Plan and Implement Security for Storage

• Azure Storage
• Configure Access Control for Storage Accounts
• Manage Life Cycle for Storage Account Access Keys
• Select and Configure an Appropriate Method for Access to Azure Files
• Select and Configure an Appropriate Method for Access to Azure Blobs
• Select and Configure an Appropriate Method for Access to Azure Tables
• Select and Configure an Appropriate Method for Access to Azure Queues
• Select and Configure Appropriate Methods for Protecting Against Data Security Threats, Including Soft Delete, Backups, Versioning, and Immutable Storage
• Configure Bring Your Own Key (Byok)
• Enable Double Encryption at the Azure Storage Infrastructure Level

Module 10: Plan and Implement Security for Azure SQL Database and Azure SQL Managed Instance

• Azure SQL Database and SQL Managed Instance Security
• Enable Database Authentication by Using Microsoft Entra ID
• Enable and Monitor Database Audit7 Min
• Identify Use Cases for the Microsoft Purview Governance Portal
• Implement Data Classification of Sensitive Information by Using the Microsoft Purview Governance Portal
• Plan and Implement Dynamic Mask
• Implement Transparent Data Encryption​
• Recommend When to Use Azure SQL Database Always Encrypted

Module 11: Plan, Implement, and Manage Governance for Security

• Azure Governance
• Create, Assign, And Interpret Security Policies and Initiatives in Azure Policy
• Configure Security Settings by Using Azure Blueprint
• Deploy Secure Infrastructures by Using a Landing Zone
• Azure Key Vault
• Azure Key Vault Security
• Azure Key Vault Authentication
• Create and Configure an Azure Key Vault
• Recommend When to Use a Dedicated Hardware Security Module (HSM)
• Configure Access to Key Vault, Including Vault Access Policies and Azure Role Based Access Control
• Manage Certificates, Secrets, and Keys
• Configure Key Rotation
• Configure Backup and Recovery of Certificates, Secrets, And Keys

Module 12: Manage Security Posture by using Microsoft Defender for Cloud

• Implement Microsoft Defender For Cloud
• Identify and Remediate Security Risks by Using the Microsoft Defender for Cloud Secure Score and Inventory
• Assess Compliance Against Security Frameworks and Microsoft Defender for Cloud
• Add Industry and Regulatory Standards to Microsoft Defender For Cloud
• Add Custom Initiatives to Microsoft Defender For Cloud
• Connect Hybrid Cloud and Multicloud Environments to Microsoft Defender For Cloud
• Identify and Monitor External Assets by Using Microsoft Defender External Attack Surface Management

Module 13: Configure and Manage Threat Protection by using Microsoft Defender for Cloud

• Enable Workload Protection Services in Microsoft Defender for Cloud
• Configure Microsoft Defender for Servers
• Configure Microsoft Defender for Azure SQL Database
• Container Security in Microsoft Defender for Containers
• Managed Kubernetes Threat Factors
• Defender for Containers Architecture
• Configure Microsoft Defender for Containers Components
• Vulnerability Assessments for Azure
• Defender for Storage
• Malware Scanning in Defender for Storage
• Detect Threats to Sensitive Data
• Deploy Microsoft Defender For Storage
• Enable Configure Azure Built-In Policy
• Microsoft Defender For Cloud Devops Security
• Devops Security Support and Prerequisites
• Devops Environment Security Posture
• Connect Your Github Lab Environment to Microsoft Defender for Cloud
• Configure the Microsoft Security Devops Github Action
• Manage and Respond to Security Alerts in Microsoft Defender for Cloud
• Configure Workflow Automation by Using Microsoft Defender for Cloud
• Evaluate Vulnerability Scans from Microsoft Defender For Server

Module 14: Configure and Manage Security Monitoring and Automation solutions

• Monitor Security Events by Using Azure Monitor
• Configure Data Connectors in Microsoft Sentinel
• Create and Customize Analytics Rules in Microsoft Sentinel
• Evaluate Alerts and Incidents from Microsoft Sentinel
• Configure Automation in Microsoft Sentinel

Designing and Implementing a Data Science Solution on Azure DP-100 Course Outline

Module 1: Design a Data Ingestion Strategy for Machine Learning Projects

• Introduction
• Identify Your Data Source and Format
• Choose How to Serve Data to Machine Learning Workflows
• Design a Data Ingestion Solution
• Exercise: Design a Data Ingestion Strategy

Module 2: Design a Machine Learning Model Training Solution

• Introduction
• Identify Machine Learning Tasks
• Choose a Service to Train a Machine Learning Model
• Decide Between Compute Options
• Exercise: Design a Model Training Strategy

Module 3: Design a Model Deployment Solution

• Introduction
• Understand How Model Will Be Consumed
• Decide on Real-Time or Batch Deployment
• Exercise - Design a Deployment Solution

Module 4: Azure Machine Learning Workspace Resources and Assets

• Introduction
• Video - Explore the Azure Machine Learning Workspace
• Create an Azure Machine Learning Workspace
• Identify Azure Machine Learning Resources
• Identify Azure Machine Learning Assets
• Train Models in the Workspace
• Exercise - Explore the Workspace

Module 5: Developer Tools for Workspace Interaction

• Introduction
• Studio
• Python SDK
• CLI
• Exercise-Explore the Developer Tools

Module 6: Make Data Available in Azure Machine Learning

• Introduction
• Video - Make Data Available in Azure Machine Learning
• Understand URIs
• Create a Datastore
• Create a Data Asset
• Exercise - Make Data Available in Azure Machine Learning

Module 7: Work with Compute Targets in Azure Machine Learning

• Introduction
• Choose the Appropriate Compute Target
• Create and Use a Compute Instance
• Create and Use a Compute Cluster
• Exercise - Work with Compute Resources

Module 8: Work with Environments in Azure Machine Learning

• Introduction
• Understand Environments
• Use Curated Environments
• Create and Use Custom Environments
• Exercise - Work with Environments

Module 9: Classification Model with Automated Machine Learning

• Introduction
• Video - Find the Best Classification Model with Automated Machine Learning
• Preprocess Data and Configure Featurisation
• Run an Automated Machine Learning Experiment
• Evaluate and Compare Models
• Exercise - Find the Best Classification Model with Automated Machine Learning

Module 10: Track Model Training in Jupyter Notebooks with MLflow

• Introduction
• Configure MLflow For Model Tracking in Notebooks
• Train and Track Models in Notebooks
• Exercise - Track Model Training

Module 11: Run Training Script as a Command Job in Azure Machine Learning

• Introduction
• Video - Run a Training Script as a Command Job in Azure Machine Learning
• Convert a Notebook to a Script
• Run a Script as a Command Job
• Use Parameters in a Command Job
• Exercise - Run a Training Script as a Command Job

Module 12: Track Model Training with MLflow in Jobs

• Introduction
• Video - Track Model Training with MLFlow in Jobs
• Track Metrics with MLflow
• View Metrics and Evaluate Models
• Exercise - Use MLflow to Track Training Jobs

Module 13: Run Pipelines in Azure Machine Learning

• Introduction
• Video - Run Pipelines in Azure Machine Learning
• Create Components
• Create a Pipeline
• Run a Pipeline Job
• Exercise - Run a Pipeline Job

Module 14: Perform Hyperparameter Tuning with Azure Machine Learning

• Introduction
• Define a Search Space
• Configure a Sampling Method
• Configure Early Termination
• Use a Sweep Job for Hyperparameter Tuning
• Exercise - Run a Sweep Job

Module 15: Deploy a Model to a Managed Online Endpoint

• Introduction
• Managed Online Endpoints
• Deploy the MLflow Model to a Managed Online Endpoint
• Deploy a Model to a Managed Online Endpoint
• Test Managed Online Endpoints
• Exercise - Deploy an MLflow Model to an Online Endpoint

Module 16: Deploy a Model to a Batch Endpoint

• Introduction
• Video - Deploy a Model to a Batch Endpoint
• Understand and Create Batch Endpoints
• Deploy Your MLflow Model to a Batch Endpoint
• Deploy a Custom Model to a Batch Endpoint
• Invoke and Troubleshoot Batch Endpoints
• Exercise - Deploy an MLflow Model to a Batch Endpoint

Designing and implementing a Microsoft Azure AI Solution AI-102 Course Outline

Module 1: Introduction to AI on Azure

Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.

Lessons

• Introduction to Artificial Intelligence
• Artificial Intelligence in Azure

After completing this module, students will be able to:

• Describe considerations for creating AI-enabled applications
• Identify Azure services for AI application development

Module 2: Developing AI Apps with Cognitive Services

Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services.

Lessons

• Getting Started with Cognitive Services
• Using Cognitive Services for Enterprise Applications

Lab: Get Started with Cognitive Services
Lab: Manage Cognitive Services Security
Lab: Monitor Cognitive Services
Lab: Use a Cognitive Services Container

After completing this module, students will be able to:

• Provision and consume cognitive services in Azure
• Manage cognitive services security
• Monitor cognitive services
• Use a cognitive services container

Module 3: Getting Started with Natural Language Processing

Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text.

Lessons

• Analyzing Text
• Translating Text

Lab: Translate Text

Lab: Analyze Text

After completing this module, students will be able to:

• Use the Text Analytics cognitive service to analyze text
• Use the Translator cognitive service to translate text

Module 4: Building Speech-Enabled Applications

Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications.

Lessons

• Speech Recognition and Synthesis
• Speech Translation

Lab: Recognize and Synthesize Speech
Lab: Translate Speech

After completing this module, students will be able to:

• Use the Speech cognitive service to recognize and synthesize speech
• Use the Speech cognitive service to translate speech

Module 5: Creating Language Understanding Solutions

To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input.

Lessons

• Creating a Language Understanding App
• Publishing and Using a Language Understanding App
• Using Language Understanding with Speech

Lab: Create a Language Understanding Client Application
Lab: Create a Language Understanding App
Lab: Use the Speech and Language Understanding Services

After completing this module, students will be able to:

• Create a Language Understanding app
• Create a client application for Language Understanding
• Integrate Language Understanding and Speech

Module 6: Building a QnA Solution

One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution.

Lessons

• Creating a QnA Knowledge Base
• Publishing and Using a QnA Knowledge Base

Lab: Create a QnA Solution

After completing this module, students will be able to:

• Use QnA Maker to create a knowledge base
• Use a QnA knowledge base in an app or bot

Module 7: Conversational AI and the Azure Bot Service

Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.

Lessons

• Bot Basics
• Implementing a Conversational Bot

Lab: Create a Bot with the Bot Framework SDK
Lab: Create a Bot with Bot Framework Composer

After completing this module, students will be able to:

• Use the Bot Framework SDK to create a bot
• Use the Bot Framework Composer to create a bot

Module 8: Getting Started with Computer Vision

Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video.

Lessons

• Analyzing Images
• Analyzing Videos

Lab: Analyze Video
Lab: Analyze Images with Computer Vision

After completing this module, students will be able to:

• Use the Computer Vision service to analyze images
• Use Video Analyzer to analyze videos

Module 9: Developing Custom Vision Solutions

While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models.

Lessons

• Image Classification
• Object Detection

Lab: Classify Images with Custom Vision
Lab: Detect Objects in Images with Custom Vision

After completing this module, students will be able to:

• Use the Custom Vision service to implement image classification
• Use the Custom Vision service to implement object detection

Module 10: Detecting, Analyzing, and Recognizing Faces

Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces.

Lessons

• Detecting Faces with the Computer Vision Service
• Using the Face Service

Lab: Detect, Analyze, and Recognize Faces

After completing this module, students will be able to:

• Detect faces with the Computer Vision service
• Detect, analyze, and recognize faces with the Face service

Module 11: Reading Text in Images and Documents

Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms.

Lessons

• Reading text with the Computer Vision Service
• Extracting Information from Forms with the Form Recognizer service

Lab: Read Text in Images
Lab: Extract Data from Forms

After completing this module, students will be able to:

• Use the Computer Vision service to read text in images and documents
• Use the Form Recognizer service to extract data from digital forms

Module 12: Creating a Knowledge Mining Solution

Many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights.

Lessons

• Implementing an Intelligent Search Solution
• Developing Custom Skills for an Enrichment Pipeline
• Creating a Knowledge Store

Lab: Create a Custom Skill for Azure Cognitive Search
Lab: Create an Azure Cognitive Search solution
Lab: Create a Knowledge Store with Azure Cognitive Search

After completing this module, students will be able to:

• Create an intelligent search solution with Azure Cognitive Search
• Implement a custom skill in an Azure Cognitive Search enrichment pipeline
• Use Azure Cognitive Search to create a knowledge store

Migrate NoSQL Workloads to Azure Cosmos DB (MDP060)​ Course Outline

Module 1: Building Globally Distributed Applications with Cosmos DB
Lessons

• Cosmos DB Overview
• Cosmos DB APIs
• Provisioning Throughput
• Partitioning/Sharding Best Practices

Lab: Practice Labs

• Create Cosmos DB Account
• Configure RUs

Module 2: Migrate MongoDB Workloads to Cosmos DB
Lessons

• Understand Migration Benefits
• Migration Planning
• Data Migration
• Application Migration
• Post-Migration considerations

Lab: Practice Labs

• Create a Migration Project

• Define Source and Target
• Perform Migration
• Verify Migration

Module 3: Migrate Cassandra DB Workloads to Cosmos DB

Lessons

• Understand Migration Benefits
• Migration Planning
• Data Migration
• Application Migration
• Post-Migration Considerations

Lab: Practice Labs

• Export the Schema
• Move Data Using CQLSH COPY
• Move Data Using Spark
• Verify Migration

Migrate Open Source Data Workloads to Azure (DP070)​ Course Outline

Module 1 - Migrate to Azure SQL DB for MySQL and PostgreSQL

Lessons

• OSS Databases Overview
• Common OSS Database Workloads
• Customer Challenges in Migration

Lab: Creating Source OSS Databases

• Installation of Postgres Migration DB Server
• Installation of MySQL Migration DB Server
• Backups/Data Dumps from Postgres/MySQL
• Restore from Data Dumps

Module 2 - Migrate On-Premises MySQL to Azure SQL DB for MySQL

In this module, delegates will learn about the benefits and process of migrating MySQL workloads to Azure SQL DB.

Lessons

• Configure and Manage Azure SQL DB for MySQL
• Migrate On-Premises MySQL to SQL DB for MySQL
• Application Migration
• Post-Migration Considerations

Lab: Migrating MySQL DB Workloads to Azure SQL DB

• Migrating MySQL DB Workloads to Azure SQL DB
• Define Source and Target DBs 
• Perform Migration
• Verify Migration

Module 3 - Migrate On-Premises PostgreSQL to Azure SQL DB for PostgreSQL

In this module, delegates will get an understanding of the benefits and process of migrating PostgreSQL DB workloads to Azure SQL DB

Lessons

• Configure and Manage Azure SQL DB for PostgreSQL
• Migrate On-Premises MySQL to SQL DB for PostgreSQL
• Application Migration
• Post-Migration Considerations

Lab: Migrating PostgreSQL DB Workloads to Azure SQL DB

• Configure Azure SQL DB for PostgreSQL
• Define Source and Target DBs
• Perform Migration
• Verify Migration

Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack Hub AZ600 Course Outline

This course includes the following modules:

Module 1: Overview of Azure Stack Hub

In this module, you will learn how Azure Stack Hub is an extension of Azure that provides a way to run apps in an on-premises environment and deliver Azure services in your datacenter.

Lessons

• Azure Stack Hub
• Datacenter integration
• Azure Stack Hub PowerShell
• Module review questions

After completing this module, students will be able to:

• Describe edge and disconnected solutions
• Describe Azure Stack Hub integrated systems architecture
• Explain Azure Stack Hub deployment options
• Define differences between Azure Stack Hub, Azure Stack HCI, and global Azure

Module 2: Provide Services

In this module, you will learn how to populate Azure Stack Hub Marketplace in a disconnected environment, deploy an App Services resource provider, deploy Event Hubs resource provides, create and manage quotas, plans, offers, and subscriptions, and manage usage and billing.

Lessons

• Manage Azure Stack Hub Marketplace
• Offer an App Services resource provider
• Offer an Event Hubs resource provider
• Offer services
• Manage usage and billing
• Module review questions
  • Lab : Manage offers and plans in Azure Stack Hub
  • Lab : Add custom Marketplace Items by using the Azure Gallery Packager
  • Lab : Validate Azure Resource Manager (ARM) Templates with Azure Stack Hub
  • Lab : Optional Lab : Implement SQL Server Resource Provider in Azure Stack Hub

After completing this module, students will be able to:

• Create a custom Azure Stack Hub Marketplace item
• Deploy and update an App Services resource provider
• Plan an Event Hubs resource provider deployment
• Create and manage user subscriptions
• Manage usage and billing in multi-tenant and CSP scenarios

Module 3: Implement Data Center Integration

In this module, you will learn how prepare an Stack Hub deployment, recommend and validate certificates, and register in a connected and disconnected environment.

Lessons

• Prepare for Azure Stack Hub deployment
• Manage Azure Stack Hub registration
• Module review questions

After completing this module, students will be able to:

• View and retrieve usage data by using the Usage API
• Recommend a name resolution strategy
• Validate identity provider integration
• Validate certificates
• Recommend a registration mode

Module 4: Manage Identity and Access for Azure Stack Hub

In this module, you will learn how to configure the Azure Stack Hub home directory, register the guest tenant directory with Azure Stack Hub, and identify an appropriate method for access (service principal, users, groups).

Lessons

• Manage multi-tenancy
• Manage access
• Module review questions
  • Lab : Delegate Offer Management in Azure Stack Hub
  • Lab : Manage Service Principals in Azure Stack Hub

After completing this module, students will be able to:

• Register the guest tenant directory with Azure Stack Hub
• Update the guest tenant directory
• Configure access in Azure Stack Hub
• Create a custom role

Module 5: Manage the Azure Stack Hub Infrastructure

In this module, you will learn how monitor system health by using the REST API, monitor system health by using Syslog Server, collect diagnostic logs on demand by using Powershell, configure a storage target for infrastructure backup, and download and import update packages manually.

Lessons

• Manage system health
• Azure Monitor on Azure Stack Hub
• Plan and configure business continuity and disaster recovery
• Manage capacity
• Update infrastructure
• Manage Azure Stack Hub by using privileged endpoints
• Module review questions
  • Lab : Connect to Azure Stack Hub via PowerShell
  • Lab : Access the Privileged Endpoint in Azure Stack Hub
  • Lab : Manage Log Collection in Azure Stack Hub
  • Lab : Configure and manage Azure Stack Hub Storage Accounts
  • Lab : Manage Public IP Addresses in Azure Stack Hub
  • Lab : Configure Azure Stack Hub Infrastructure Backup

After completing this module, students will be able to:

• Include resource providers such as Event Hubs
• Manage field replacement or repair
• Configure storage targets for infrastructure backups
• Update Azure Stack Hub
• Unlock a support session
• Connect to a privileged endpoin
• Perform system diagnostics by using Test-AzureStack

Designing and Implementing Microsoft Azure Networking Solutions AZ700​ Training Course Outline

Module 1: Introduction to Azure Virtual Networks

• Introduction
• Explore Azure Virtual Networks
• Configure Public IP Services
• Exercise: Design and Implement a Virtual Network in Azure
• Design Name Resolution for Your Virtual Network
• Exercise: Configure Domain Name Servers Settings in Azure
• Enable Cross-Virtual Network Connectivity with Peering
• Exercise: Connect Two Azure Virtual Networks Using Global Virtual Network Peering
• Implement Virtual Network Traffic Routing
• Configure Internet Access with Azure Virtual NAT

Module 2: Design and Implement Hybrid Networking

• Introduction
• Design and Implement Azure VPN Gateway
• Exercise: Create and Configure a Virtual Network Gateway
• Connect Networks with Site-to-Site VPN Connections
• Connect Devices to Networks with Point-to-Site VPN Connections
• Connect Remote Resources by Using Azure Virtual WANs
• Exercise: Create a Virtual WAN by Using the Azure Portal
• Create a Network Virtual Appliance (NVA) in a Virtual Hub

Module 3: Design and Implement Azure ExpressRoute

• Introduction
• Explore Azure ExpressRoute
• Design an ExpressRoute Deployment
• Exercise: Configure an ExpressRoute Gateway
• Exercise: Provision an ExpressRoute Circuit
• Configure Peering for an ExpressRoute Deployment
• Connect an ExpressRoute Circuit to a Virtual Network
• Connect Geographically Dispersed Networks with ExpressRoute Global Reach
• Improve Data Path Performance Between Networks with ExpressRoute FastPath
• Troubleshoot ExpressRoute Connection Issues

Module 4: Load Balance Non-HTTP(S) Traffic in Azure

• Introduction
• Explore Load Balancing
• Design and Implement Azure Load Balancer Using the Azure Portal
• Exercise: Create and Configure an Azure Load Balancer
• Explore Azure Traffic Manager
• Exercise: Create a Traffic Manager Profile Using the Azure Portal

Module 5: Load Balance HTTP(S) Traffic in Azure

• Introduction
• Design Azure Application Gateway
• Configure Azure Application Gateway
• Exercise: Deploy Azure Application Gateway
• Design and Configure Azure Front Door
• Exercise: Create a Front Door for a Highly Available Web Application

Module 6: Design and Implement Network Security

• Introduction
• Get Network Security Recommendations with Microsoft Defender for Cloud
• Deploy Azure DDoS Protection by Using the Azure Portal
• Exercise: Configure DDoS Protection on a Virtual Network Using the Azure Portal
• Deploy Network Security Groups by Using the Azure Portal
• Design and Implement Azure Firewall
• Exercise: Deploy and Configure Azure Firewall Using the Azure Portal
• Secure Your Networks with Azure Firewall Manager
• Exercise: Secure Your Virtual Hub Using Azure Firewall Manager
• Implement a Web Application Firewall on Azure Front Door

Module 7: Design and Implement Private Access to Azure Services

• Introduction
• Explain Virtual Network Service Endpoints
• Define Private Link Service and Private Endpoint
• Integrate Private Endpoint with DNS
• Exercise: Restrict Network Access to PaaS Resources with Virtual Network Service Endpoints Using the Azure Portal
• Exercise: Create an Azure Private Endpoint Using Azure PowerShell
• Integrate Your App Service with Azure Virtual Networks

Module 8: Design and Implement Network Monitoring

• Introduction
• Monitor Your Networks Using Azure Monitor
• Exercise: Monitor a Load Balancer Resource Using Azure Monitor
• Monitor Your Networks Using Azure Network Watcher

Troubleshooting Microsoft Azure Connectivity AZ720 Course Outline

Module 1: Troubleshoot Business Continuity with Microsoft Azure

• Introduction
• Troubleshoot Backup Issues with Microsoft Azure
• Troubleshoot Recovery Issues with Microsoft Azure
• Exercise: Troubleshoot Business Continuity Issues

Module 2: Troubleshoot Name Resolution Issues in Microsoft Azure

• Introduction
• Azure Name Resolution Issues
• Troubleshoot Public DNS in Microsoft Azure
• Troubleshoot Name Resolution Issues
• Exercise: Name Resolution Issues

Module 3: Troubleshoot Cloud and Hybrid Connectivity in Microsoft Azure

• Introduction
• Set Up a Troubleshooting Environment
• Troubleshoot ExpressRoute Connectivity
• Troubleshoot Virtual Network Connectivity in Microsoft Azure
• Troubleshoot Virtual WAN Issues in Microsoft Azure
• Exercise: Troubleshoot Cloud and Hybrid Connectivity

Module 4: Troubleshoot Platform-as-a-Service Issues in Microsoft Azure

• Introduction
• Troubleshoot Azure Storage
• Troubleshoot Azure Private Link Connectivity Problems and Firewalls for Virtual Machines
• Troubleshoot Content Delivery Network Issues with Microsoft Azure
• Troubleshoot Connections Between Virtual Machines in Microsoft Azure
• Troubleshoot Integration of Virtual Machines with Virtual Networks in Microsoft Azure
• Exercise: Troubleshoot Virtual Machine Connection
• Exercise: Resolve Virtual Machine Connection

Module 5: Troubleshoot Authentication and Access Control Issues in Microsoft Azure

• Introduction
• Troubleshoot Azure AD Authentication
• Troubleshoot Hybrid Authentication in Microsoft Azure
• Troubleshoot Authorisation Issues with Microsoft Azure
• Demo: Troubleshoot Authentication and Access Control Issues

Module 6: Troubleshoot Network Security Issues with Microsoft Azure

• Introduction
• Setup Troubleshooting Environment
• Troubleshoot Network Security Issues
• Troubleshoot NSGs
• Troubleshoot Azure Firewall
• Troubleshoot Latency Issues Within a Virtual Network
• Exercise: Troubleshoot Issue Connecting Virtual Machine Scale Set
• Exercise: Resolve Issue Connecting Virtual Machine Scale Set

Module 7: Troubleshoot Routing, Traffic Control, and Load Balancing in Microsoft Azure

• Introduction
• Set Up Troubleshooting Environment
• Troubleshoot Routing and Traffic Control
• Troubleshoot Load-Balancing Issues
• Exercise: Troubleshoot Routing, Traffic Control, and Load Balancing Issues
• Exercise: Resolve Issue with Load Balancer

Module 8: Troubleshoot Connectivity Issues with Virtual Machines in Microsoft Azure

• Introduction
• Choose Between Azure Bastion or Just-In-Time Virtual Machine Access
• Troubleshoot Issues with Azure Bastion
• Troubleshoot Issues with Just-In-Time Virtual Machine Access
• Exercise – Troubleshoot Connectivity Issues with Azure Bastion

Module 9: Troubleshoot VPN Gateways in Microsoft Azure

• Introduction
• Troubleshoot Site-to-Site VPN Gateways
• Troubleshoot Point-to-Site VPN Gateways
• Exercise: Troubleshoot Site-to-Site VPN Gateway Connectivity
• Exercise: Resolve Site-to-Site VPN Gateway Connection

Administering Microsoft Azure SQL Solutions DP300 Course Outline

Module 1: Prepare to Maintain SQL Databases on Azure

• Introduction
• Describe Microsoft Intelligent Data Platform Roles
• Understand SQL Server in an Azure Virtual Machine
• Design Azure SQL Database for Cloud-Native Applications
• Explore Azure SQL Database Managed Instance

Module 2: Deploy IaaS Solutions with Azure SQL

• Introduction
• Explain IaaS Options to Deploy SQL Server in Azure
• Understand Hybrid Scenarios
• Explore Performance and Security
• Explain High Availability and Disaster Recovery Options
• Exercise: Provision a SQL Server on an Azure Virtual Machine

Module 3: Deploy PaaS Solutions with Azure SQL

• Introduction
• Explain PaaS Options for Deploying SQL Server in Azure
• Explore Single SQL Database
• Deploy SQL Database Elastic Pool
• Understand SQL Database Hyperscale
• Examine SQL Managed Instance
• Describe SQL Edge
• Exercise: Deploy an Azure SQL Database

Module 4: Evaluate Strategies for Migrating to Azure SQL

• Introduction
• Understand Compatibility Level
• Understand Azure Preview Features
• Describe Azure Database Migration Options

Module 5: Migrate SQL Server Workloads to Azure SQL Database

• Introduction
• Choose the Right Azure SQL Database Feature
• Use Azure SQL Migration Extension to Migrate to Azure SQL Database
• Explore Data Migration Assistant to Migrate to Azure SQL Database
• Migrate to Azure SQL Database Using BACPAC
• Use an Online Method to Migrate to Azure SQL Database
• Move Data to Azure SQL Database
• Exercise: Migrate a SQL Server Database to Azure SQL Database

Module 6: Migrate SQL Workloads to Azure Managed Instances

• Introduction
• Evaluate Migration Scenarios to SQL Database Managed Instance
• Migrate to SQL Database Managed Instance
• Load and Move Data to SQL Database Managed Instance

Module 7: Configure Database Authentication and Authorisation

• Introduction
• Describe Active Directory and Azure Active Directory
• Describe Authentication and Identities
• Describe Security Principals
• Describe Database and Object Permissions
• Identify Authentication and Authorisation Failures
• Exercise: Authorise Access to Azure SQL Database with Azure Active Directory

Module 8: Protect Data In-Transit and At Rest

• Introduction
• Explore Transparent Data Encryption
• Configure Server and Database Firewall Rules
• Explain Object Encryption and Secure Enclaves
• Enable Encrypted Connections
• Describe SQL Injection
• Understand Azure Key Vault
• Exercise: Configure a Server-Based Firewall Rule Using the Azure Portal

Module 9: Implement Compliance Controls for Sensitive Data

• Introduction
• Explore Data Classification
• Explore Server and Database Audit
• Implement Dynamic Data Masking
• Implement Row-Level Security
• Understand Microsoft Defender for SQL
• Explore Azure SQL Database Ledger
• Implement Azure Purview
• Exercise: Enable Microsoft Defender for SQL and Data Classification

Module 10: Describe Performance Monitoring

• Introduction
• Describe Performance Monitoring Tools
• Describe Critical Performance Metrics
• Establish Baseline Metrics
• Explore Extended Events
• Describe Azure SQL Insights
• Explore Query Performance Insight
• Exercise: Isolate Problems with Monitoring

Module 11: Configure SQL Server Resources for Optimal Performance

• Introduction
• Explain How to Optimise Azure Storage for SQL Server Virtual Machines
• Describe Virtual Machine Resising
• Optimise Database Storage
• Control SQL Server Resources

Module 12: Configure Databases for Optimal Performance

• Introduction
• Explore Database Maintenance Checks
• Describe Database Scoped Configuration Options
• Describe Automatic Tuning
• Describe Intelligent Query Processing
• Exercise: Detect and Correct Fragmentation Issues

Module 13: Explore Query Performance Optimisation

• Introduction
• Understand Query Plans
• Explain Estimated and Actual Query Plans
• Describe Dynamic Management Views and Functions
• Explore Query Store
• Identify Problematic Query Plans
• Describe Blocking and Locking
• Exercise: Identify and Resolve Blocking Issues

Module 14: Evaluate Performance Improvements

• Introduction
• Describe Wait Statistics
• Tune and Maintain Indexes
• Understand Query Hints
• Exercise: Isolate Problem Areas in Poorly Performing Queries

Module 15: Explore Performance-Based Design

• Introduction
• Describe Normalisation
• Choose Appropriate Data Types
• Design Indexes
• Exercise: Identify Database Design Issues

Module 16: Automate Deployment of Database Resources

• Introduction
• Describe Deployment Models in Azure
• Automate Deployment by Using Azure Resource Manager Templates and Bicep
• Automate Deployment by Using PowerShell
• Automate Deployment by Using Azure CLI
• Exercise: Deploy an Azure SQL Database Using an Azure Resource Manager Template

Module 17: Create and Manage SQL Agent Jobs

• Introduction
• Create a SQL Server Maintenance Plan
• Describe Task Status Notifications
• Knowledge Check
• Exercise: Create a CPU Status Alert for a SQL Server

Module 18: Manage Azure PaaS Tasks Using Automation

• Introduction
• Explore Elastic Jobs
• Understand Azure Automation
• Build an Automation Runbook
• Automate Database Workflows by Using Logic Apps
• Monitor Automated Tasks
• Exercise: Deploy an Automation Runbook to Automatically Rebuild Indexes

Module 19: Describe High Availability and Disaster Recovery Strategies

• Introduction
• Describe Recovery Time Objective and Recovery Point Objective
• Explore High Availability and Disaster Recovery Options
• Describe Azure High Availability and Disaster Recovery Features for Azure Virtual Machines
• Describe High Availability and Disaster Recovery Options for PaaS Deployments
• Explore an IaaS High Availability and Disaster Recovery Solution
• Describe Hybrid Solutions

Module 20: Explore IaaS and PaaS Solutions for High Availability and Disaster Recovery

• Introduction
• Describe Failover Clusters in Windows Server
• Configure Always-On Availability Groups
• Describe Temporal Tables in Azure SQL Database
• Describe Active Geo-Replication for Azure SQL Database
• Explore Auto-Failover Groups for Azure SQL Database and Azure SQL Managed Instance
• Exercise: Configure Geo-Replication for Azure SQL Database

Module 21: Back Up and Restore Databases

• Introduction
• Back Up and Restore SQL Server Running on Azure Virtual Machines
• Back Up a SQL Server Virtual Machine
• Back Up and Restore a Database Using Azure SQL Database
• Exercise: Backup to URL

Data Engineering on Microsoft Azure DP203 Course Outline

Module 1: Introduction to Data Engineering on Azure

• Introduction
• What Is Data Engineering?
• Important Data Engineering Concepts
• Data Engineering in Microsoft Azure

Module 2: Introduction to Azure Data Lake Storage Gen2

• Introduction
• Understand Azure Data Lake Storage Gen2
• Enable Azure Data Lake Storage Gen2 in Azure Storage
• Compare Azure Data Lake Store to Azure Blob Storage
• Understand the Stages for Processing Big Data
• Use Azure Data Lake Storage Gen2 in Data Analytics Workloads

Module 3: Introduction to Azure Synapse Analytics

• Introduction
• What is Azure Synapse Analytics?
• How Azure Synapse Analytics Works?
• When to Use Azure Synapse Analytics?
• Exercise: Explore Azure Synapse Analytics

Module 4: Use Azure Synapse Serverless SQL Pool to Query Files in a Data Lake

• Introduction
• Understand Azure Synapse Serverless SQL Pool Capabilities and Use Cases
• Query Files Using a Serverless SQL Pool
• Create External Database Objects
• Exercise: Query Files Using a Serverless SQL Pool

Module 5: Use Azure Synapse Serverless SQL Pools to Transform Data in a Data Lake

• Introduction
• Transform Data Files with the CREATE EXTERNAL TABLE AS SELECT Statement
• Encapsulate Data Transformations in a Stored Procedure
• Include a Data Transformation Stored Procedure in a Pipeline
• Exercise: Transform Files Using a Serverless SQL Pool

Module 6: Create a Lake Database in Azure Synapse Analytics

• Introduction
• Understand Lake Database Concepts
• Explore Database Templates
• Create a Lake Database
• Use a Lake Database
• Exercise: Analyse Data in a Lake Database

Module 7: Analyse Data with Apache Spark in Azure Synapse Analytics

• Introduction
• Get to Know Apache Spark
• Use Spark in Azure Synapse Analytics
• Analyse Data with Spark
• Visualise Data with Spark
• Exercise: Analyse Data with Spark

Module 8: Transform Data with Spark in Azure Synapse Analytics

• Introduction
• Modify and Save Dataframes
• Partition Data Files
• Transform Data with SQL
• Exercise: Transform Data with Spark in Azure Synapse Analytics

Module 9: Use Delta Lake in Azure Synapse Analytics

• Introduction
• Understand Delta Lake
• Create Delta Lake Tables
• Create Catalog Tables
• Use Delta Lake with Streaming Data
• Use Delta Lake in a SQL Pool
• Exercise: Use Delta Lake in Azure Synapse Analytics

Module 10: Analyse Data in a Relational Data Warehouse

• Introduction
• Design a Data Warehouse Schema
• Create Data Warehouse Tables
• Load Data Warehouse Tables
• Query a Data Warehouse
• Exercise: Explore a Data Warehouse

Module 11: Load Data into a Relational Data Warehouse

• Introduction
• Load Staging Tables
• Load Dimension Tables
• Load Time Dimension Tables
• Load Slowly Changing Dimensions
• Load Fact Tables
• Perform Post-Load Optimisation
• Exercise: Load Data into a Relational Data Warehouse

Module 12: Build a Data Pipeline in Azure Synapse Analytics

• Introduction
• Understand Pipelines in Azure Synapse Analytics
• Create a Pipeline in Azure Synapse Studio
• Define Data Flows
• Run a Pipeline
• Exercise: Build a Data Pipeline in Azure Synapse Analytics

Module 13: Use Spark Notebooks in an Azure Synapse Pipeline

• Introduction
• Understand Synapse Notebooks and Pipelines
• Use a Synapse Notebook Activity in a Pipeline
• Use Parameters in a Notebook
• Exercise: Use an Apache Spark Notebook in a Pipeline

Module 14: Plan Hybrid Transactional and Analytical Processing Using Azure Synapse Analytics

• Introduction
• Understand Hybrid Transactional and Analytical Processing Patterns
• Describe Azure Synapse Link

Module 15: Implement Azure Synapse Link with Azure Cosmos DB

• Introduction
• Enable Cosmos DB Account to Use Azure Synapse Link
• Create an Analytical Store Enabled Container
• Create a Linked Service for Cosmos DB
• Query Cosmos DB Data with Spark
• Query Cosmos DB with Synapse SQL
• Exercise: Implement Azure Synapse Link for Cosmos DB

Module 16: Implement Azure Synapse Link for SQL

• Introduction
• What Is Azure Synapse Link for SQL?
• Configure Azure Synapse Link for Azure SQL Database
• Configure Azure Synapse Link for SQL Server 2022
• Exercise: Implement Azure Synapse Link for SQL

Module 17: Get Started with Azure Stream Analytics

• Introduction
• Understand Data Streams
• Understand Event Processing
• Understand Window Functions
• Exercise: Get Started with Azure Stream Analytics

Module 18: Ingest Streaming Data Using Azure Stream Analytics and Azure Synapse Analytics

• Introduction
• Stream Ingestion Scenarios
• Configure Inputs and Outputs
• Define a Query to Select, Filter, and Aggregate Data
• Run a Job to Ingest Data
• Exercise: Ingest Streaming Data into Azure Synapse Analytics

Module 19: Visualize Real-Time Data with Azure Stream Analytics and Power BI

• Introduction
• Use a Power BI Output in Azure Stream Analytics
• Create a Query for Real-Time Visualization
• Create Real-Time Data Visualizations in Power BI
• Exercise: Create a Real-Time Data Visualization

Module 20: Introduction to Microsoft Purview

• Introduction
• What Is Microsoft Purview?
• How Microsoft Purview Works?
• When to Use Microsoft Purview?

Module 21: Integrate Microsoft Purview and Azure Synapse Analytics

• Introduction
• Catalog Azure Synapse Analytics Data Assets in Microsoft Purview
• Connect Microsoft Purview to an Azure Synapse Analytics Workspace
• Search a Purview Catalog in Synapse Studio
• Track Data Lineage in Pipelines
• Exercise: Integrate Azure Synapse Analytics and Microsoft Purview

Module 22: Explore Azure Databricks

• Introduction
• Get Started with Azure Databricks
• Identify Azure Databricks Workloads
• Understand Key Concepts
• Exercise: Explore Azure Databricks

Module 23: Use Apache Spark in Azure Databricks

• Introduction
• Get to Know Spark
• Create a Spark Cluster
• Use Spark in Notebooks
• Use Spark to Work with Data Files
• Visualise Data
• Exercise: Use Spark in Azure Databricks

Module 24: Run Azure Databricks Notebooks with Azure Data Factory

• Introduction
• Understand Azure Databricks Notebooks and Pipelines
• Create a Linked Service for Azure Databricks
• Use a Notebook Activity in a Pipeline
• Use Parameters in a Notebook
• Exercise: Run an Azure Databricks Notebook with Azure Data Factory

Migrate SQL Workloads to Azure DP050​ Course Outline

Module 1: Introducing Data Platform Modernisation

• Understand Data Platform Modernisation
• Understanding the Stages of Migration
• Data Migration Paths

Lab: Introducing Data Platform Modernisation

• Understand Data Platform Modernisation
• Understand the Stages of Migration
• Data Migration Paths

Module 2: Choose the Right Tools for Data Migration

• Discover the Database Migration Guide
• Build Your Data Estate Inventory Using Map Toolkit
• Identify Migration Candidates Using Data Migration Assistant
• Evaluate a Data Workload Using Database Experimentation Assistant
• Data Migration using Azure Database Migration Service
• Migrate Non-SQL Server Workloads to Azure Using SQL Migration Assistant

Lab: Choose the Right Tools for Data Migration

• Identify Migration Candidates using Data Migration Assistant
• Evaluate a Data Workload using Database Experimentation Assistant

Module 3: Migrating SQL Workloads to Azure Virtual Machines

• Considerations of SQL Server to Azure VM Migrations
• SQL Workloads to Azure VM Migration Options
• Implementing High Availability and Disaster Recovery Scenarios

Lab: Migrating SQL Workloads to Azure Virtual Machines

Module 4: Migrate SQL Workloads to Azure SQL Databases

• Choose the Right SQL Server Instance Option in Azure
• Migrate SQL Server to Azure SQL DB Offline
• Migrate SQL Server to Azure SQL DB Online
• Load and Move Data to Azure SQL Database

Lab: Migrate SQL Workloads to Azure SQL Databases

Module 5: Migrate SQL Workloads to Azure SQL Database Managed Instance

• Evaluate Migration Scenarios to SQL Database Managed Instance
• Migrate to SQL Database Managed Instance
• Load and Move Data to SQL Database Managed Instance
• Application Configuration and Optimisation

Lab: Migrate SQL Workloads to Azure SQL Database Managed Instance

Configuring Windows Server Hybrid Advanced Services AZ-801 Course Outline

Module 1: Secure Windows Server User Accounts

• Introduction
• Configure User Account Rights
• Protect User Accounts with the Protected Users Group
• Describe Windows Defender Credential Guard
• Block NTLM Authentication
• Locate Problematic Accounts

Module 2: Hardening Windows Server

• Introduction
• Describe Local Password Administrator Solution
• Configure Privileged Access Workstations
• Secure Domain Controllers
• Analyse Security Configuration with Security Compliance Toolkit
• Secure SMB Traffic

Module 3: Windows Server Update Management

• Introduction
• Explore Windows Update
• Outline Windows Server Update Services Server Deployment Options
• Define Windows Server Update Services Update Management Process
• Describe the Process of Update Management

Module 4: Secure Windows Server DNS

• Introduction
• Implement Split-Horizon DNS
• Create DNS Policies
• Implement DNS Policies
• Secure Windows Server DNS
• Implement DNSSEC

Module 5: Implement Windows Server IaaS VM Network Security

• Introduction
• Implement Network Security Groups and Windows IaaS VMs
• Implement Adaptive Network Hardening
• Implement Azure Firewall and Windows IaaS VMs
• Implement Windows Firewall with Windows Server IaaS VMs
• Choose the Appropriate Filtering Solution
• Deploy and Configure Azure Firewall Using the Azure Portal
• Capture Network Traffic with Network Watcher
• Log Network Traffic to and From a VM Using the Azure Portal

Module 6: Audit the Security of Windows Server IaaS Virtual Machines

• Introduction
• Describe Azure Security Centre
• Enable Azure Security Centre in Hybrid Environments
• Implement and Assess Security Policies
• Protect Your Resources with Azure Security Centre
• Implement Azure Sentinel

Module 7: Manage Azure Updates

• Introduction
• Describe Update Management
• Enable Update Management
• Deploy Updates
• View Update Assessments
• Manage Updates for Your Azure Virtual Machines

Module 8: Create and Implement Application Allow Lists with Adaptive Application Control

• Introduction
• Describe Adaptive Application Control
• Implement Adaptive Application Control Policies

Module 9: Configure BitLocker Disk Encryption for Windows IaaS Virtual Machines

• Introduction
• Describe Azure Disk Encryption and Server-Side Encryption
• Configure Key Vault for Azure Disk Encryption
• Encrypt Azure IaaS Virtual Machine Hard Disks
• Back Up and Recover Data from Encrypted Disks
• Create and Encrypt a Windows Virtual Machine

Module 10: Implement Change Tracking and File Integrity Monitoring for Windows IaaS VMs

• Introduction
• Implement Change Tracking and Inventory
• Manage Change Tracking and Inventory
• Manage Tracked Files
• Implement File Integrity Monitoring
• Select and Monitor Entities
• Use File Integrity Monitoring

Module 11: Introduction to Cluster Shared Volumes

• Introduction
• Determine the Functionality of Cluster Shared Volumes
• Explore the Architecture and Components of Cluster Shared Volumes
• Implement Cluster Shared Volumes

Module 12: Implement Windows Server Failover Clustering

• Introduction
• Define Windows Server Failover Clustering
• Plan Windows Server Failover Clustering
• Implement Windows Server Failover Clustering
• Manage Windows Server Failover Clustering
• Implement Stretch Clusters
• Define Cluster Sets

Module 13: Implement High Availability of Windows Server VMs

• Introduction
• Select High-Availability Options for Hyper-V
• Consider Network Load Balancing for Hyper-V VMs
• Implement Hyper-V VM Live Migration
• Implement Hyper-V VMs Storage Migration

Module 14: Implement Windows Server File Server High Availability

• Introduction
• Explore the Windows Server File Server High-Availability Options
• Define Cluster Shared Volumes
• Implement Scale-Out File Server
• Implement Storage Replica

Module 15: Implement Scale and High Availability with Windows Server VMs

• Introduction
• Describe Virtual Machine Scale Sets
• Implement Scaling
• Implement Load-Balancing VMs
• Create a Virtual Machine Scale Set in the Azure Portal
• Describe Azure Site Recovery
• Implement Azure Site Recovery

Module 16: Implement Hyper-V Replica

• Introduction
• Define Hyper-V Replica
• Plan for Hyper-V Replica
• Configure and Implement Hyper-V Replica
• Define Extended Replication
• Define Azure Site Recovery
• Implement Site Recovery from On-Premises Site to Azure
• Implement Site Recovery from On-Premises Site to On-Premises Site

Module 17: Protect Your On-Premises Infrastructure from Disasters with Azure Site Recovery

• Introduction
• Azure Site Recovery Overview
• Workloads Supported for Protection with Azure Site Recovery
• Run a Disaster Recovery Drill
• Failover and Failback

Module 18: Implement Hybrid Backup and Recovery with Windows Server IaaS

• Introduction
• Describe Azure Backup
• Implement Recovery Vaults
• Implement Azure Backup Policies
• Recover Windows IaaS Virtual Machines
• Perform File and Folder Recovery
• Perform Backup and Restore of On-Premises Workloads
• Manage Azure Virtual Machine Backups with Azure Backup Service

Module 19: Protect Your Azure Infrastructure with Azure Site Recovery

• Introduction
• What Is Azure Site Recovery
• Prepare for Disaster Recovery with Azure Site Recovery
• Exercise - Set Up Disaster Recovery with Azure Site Recovery
• Run a Disaster Recovery Drill
• Exercise - Run a Disaster Recovery Drill
• Failover and Failback Using Azure Site Recovery
• Exercise - Failover and Failback Using Azure Site Recovery

Module 20: Protect Your Virtual Machines by Using Azure Backup

• Introduction
• Azure Backup Features and Scenarios
• Back Up an Azure Virtual Machine by Using Azure Backup
• Exercise - Back Up an Azure Virtual Machine
• Restore Virtual Machine Data
• Exercise - Restore Azure Virtual Machine Data

Module 21: Active Directory Domain Services Migration

• Introduction
• Examine Upgrade vs. Migration
• Upgrade a Previous Version of Active Directory Domain Services to Windows Server 2022
• Migrate to Active Directory Domain Services in Windows Server 2022 from a Previous Version
• Explore the Active Directory Migration Tool
• Module 22: Migrate File Server Workloads Using Storage Migration Service
• Introduction
• Storage Migration Service Overview and Usage Scenarios
• Storage Migration Requirements
• Migrate a Server with Storage Migration
• Evaluate Storage Migration Considerations

Module 23: Migrate Windows Server Roles

• Introduction
• Describe the Windows Server Migration Tools
• Install the Migration Tools
• Migrate Roles Using the Migration Tools

Module 24: Migrate On-Premises Windows Server Instances to Azure IaaS Virtual Machines

• Introduction
• Plan Your Migration
• Describe Azure Migrate
• Perform Server Assessment
• Assess Physical Servers with Azure Migrate
• Migrate Windows Server Workloads by Using Azure Migrate

Module 25: Upgrade and Migrate Windows Server IaaS Virtual Machines

• Introduction
• Describe Azure Migrate
• Migrate Windows Server Workloads by Using Azure Migrate
• Describe Storage Migration
• Migrate File Servers by Using Storage Migration Service

Module 26: Containerise and Migrate ASP.NET Applications to Azure App Service

• Introduction
• Azure Migrate App Containerisation Overview
• Exercise - Set Up Host Environment
• Exercise - Discover Your ASP.NET Web Application
• Exercise - Build Container Image for Your ASP.NET App
• Exercise - Deploy App Container to App Service

Module 27: Monitor Windows Server Performance

• Introduction
• Use Performance Monitor to Identify Performance Problems
• Use Resource Monitor to Review Current Resource Usage
• Review Reliability with Reliability Monitor
• Implement a Performance Monitoring Methodology

Configuring and Operating Microsoft Azure Virtual Desktop AZ-140​ Course Outline

Module 1: Azure Virtual Desktop Architecture

• Introduction
• Azure Virtual Desktop for the Enterprise
• Azure Virtual Desktop Components
• Personal and Pooled Desktops
• Service Updates for Azure Virtual Desktop Desktops
• Azure Limitations for Azure Virtual Desktop
• Virtual Machine Sizing for Azure Virtual Desktop
• Azure Virtual Desktop Pricing

Module 2: Design the Azure Virtual Desktop Architecture

• Introduction
• Assess Network Capacity and Speed Requirements for Azure Virtual Desktop
• Azure Virtual Desktop Experience Estimator
• Recommend an Operating System for an Azure Virtual Desktop implementation
• Balancing Host Pools
• Recommendations for Using Subscriptions and Management Groups
• Configure a Location for the Azure Virtual Desktop Metadata
• Recommend a Configuration for Performance Requirements

Module 3: Design for User Identities and Profiles

• Introduction
• Select an Appropriate Licensing Model for Azure Virtual Desktop Based on Requirements
• Personal and Multi-Session Desktop Scenarios
• Recommend an Appropriate Storage Solution
• Plan for a Desktop Client Deployment
• Plan for Azure Virtual Desktop Client Deployment - Remote Desktop Protocol (RDP)
• Windows Desktop Client to Multiple Devices
• Hybrid Identity with Azure Active Directory
• Plan for Azure Active Directory (AD) Connect for User Identities

Module 4: Implement and manage networking for Azure Virtual Desktop

• Introduction
• Implement Azure Virtual Network Connectivity
• Manage Connectivity to the Internet and On-Premises Networks
• Understanding Azure Virtual Desktop Network Connectivity
• Implement and Manage Network Security for Azure Virtual Desktop
• Configure Azure Virtual Desktop Session Hosts Using Azure Bastion
• Monitor and Troubleshoot Network Connectivity for Azure Virtual Desktop
• Plan and Implement Remote Desktop Protocol Shortpath
• Configure Remote Desktop Protocol Shortpath for Managed Networks
• Configure Windows Defender Firewall with Advanced Security for RDP Shortpath
• Plan and implement Quality of Service for Azure Virtual Desktop

Module 5: Implement and Manage Storage for Azure Virtual Desktop

• Introduction
• Storage for FSLogix Components
• Configure Storage for FSLogix Components
• Configure Storage Accounts
• Create File Shares
• Configure Disks

Module 6:  Create and Configure Host Pools and Session Hosts for Azure Virtual Desktop

• Introduction
• Automate Creation of an Azure Virtual Desktop Host Pool Using PowerShell
• Configure Host Pool Assignment Type
• Customize Remote Desktop Protocol (RDP) Properties for a Host Pool
• Manage Licensing for Session Hosts that Run Windows Client
• Deploying Azure AD-Joined Virtual Machines in Azure Virtual Desktop

Module 7: Create and Manage Session Host Image for Azure Virtual Desktop

• Introduction
• Create a Managed Virtual Machine (VM) Image
• Modify a Session Host Image
• Plan for Image Update and Management
• Create and Use an Azure Compute Gallery using the Portal
• Create an Azure Virtual Desktop Image by Using VM Image Builder
• Install Microsoft 365 Apps on a Master Virtual Hard Disk Image
• Install Language Packs in Azure Virtual Desktop

Module 8: Manage Access for Azure Virtual Desktop

• Introduction
• Role-Based Access Control (RBAC) for Azure Virtual Desktop
• Plan and implement Azure Roles and Role-Based Access Control (RBAC) for Azure Virtual Desktop
• Using Azure Virtual Desktop with Microsoft Intune
• Configuring screen capture protection for Azure Virtual Desktop

Module 9: Manage Security for Azure Virtual Desktop

• Introduction
• Plan and implement Conditional Access policies for Connections to Azure Virtual Desktop
• Plan and Implement Multifactor Authentication (MFA) in Azure Virtual Desktop
• Understand Conditional Access Policy Components
• Manage Security by Using Azure Security Center
• Security Posture management and Threat Protection

Module 10: Implement and Manage FSLogix

• Introduction
• Plan for FSLogix
• FSLogix Profile Containers and Azure Files
• Install FSLogix
• Storage Options for FSLogix Profile Containers
• Profile Container vs Office Container
• Configure Office Containers
• Installing Microsoft Office Using FSLogix Application Containers
• Configure Cloud Cache
• Configure Profile Containers
• Create a Profile Container with Azure NetApp Files and Capacity pool
• Manage Rule Sets and Application Masking

Module 11: Configure user experience settings

• Introduction
• Virtual desktop Optimisation Principles
• Persistent virtual Desktop Environments
• Configure User Settings Through Group Policies
• Configure User Settings Through Endpoint Manager Policies
• Configure Session Timeout Properties
• Configure Device Redirections
• Configure Universal Print
• Implement the Start Virtual Machine on Connect Feature
• Troubleshoot User Profile Issues
• Troubleshoot Azure Virtual Desktop Clients

Module 12: Install and Configure Apps on a Session Host

• Introduction
• MSIX App Attach
• How MSIX App Attach Works
• Set Up a File Share for MSIX App Attach
• Upload MSIX Images to Azure NetApp Files in Azure Virtual Desktop
• How to Configure Apps for Users
• Using the OneDrive sync app on Virtual Desktops
• Using Microsoft Teams on Azure Virtual Desktop
• Publish Built-In Apps in Azure Virtual Desktop
• Troubleshoot Application Issues for Azure Virtual Desktop

Module 13: Plan for Disaster Recovery

• Introduction
• Disaster Recovery for Azure Virtual Desktop
• Virtual Machine Replication
• FSLogix Configuration

Module 14: Automate Azure Virtual Desktop Management Tasks

• Introduction
• Scale Session Hosts Using Azure Automation
• Create or Update an Azure Automation Account
• Create an Azure Automation Run as Account
• Create the Azure Logic App and Execution Schedule

Module 15: Monitor and Manage Performance and Health

• Introduction
• Monitor Azure Virtual Desktop by Using Azure Monitor
• Log Analytics Workspace for Azure Monitor
• Monitor Azure Virtual Desktop by using Azure Advisor
• How to Resolve Azure Advisor Recommendations
• Diagnose Graphics Performance Issues

Automating Administration with PowerShell AZ-040 Course Outline

Module 1: Review Windows PowerShell

• Introduction
• Windows PowerShell
• Windows PowerShell Applications
• Factors to Install and Use Windows PowerShell
• Configure the Windows PowerShell Console
• Windows PowerShell Integrated Scripting Environment
• Use Visual Studio Code with PowerShell

Module 2: Command Syntax in Windows PowerShell

• Structure of PowerShell cmdlets
• Parameters for Using PowerShell cmdlets
• Tab Completion Feature in PowerShell
• Display the About Files Content in PowerShell

Module 3: Commands and Get-Help in Windows PowerShell

• Modules in PowerShell
• cmdlets in PowerShell
• Use Command Aliases in PowerShell
• Use Show-Command and Get-Help in PowerShell
• Help File Contents and Update the Local Help Content in PowerShell

Module 4: Active Directory Domain Services using PowerShell cmdlets

• User Accounts in PowerShell
• Groups and Group Memberships in PowerShell
• Computer Accounts in PowerShell
• Organisational Units and Active Directory Objects in PowerShell

Module 5: Network Service Settings for Windows Devices Using PowerShell cmdlets

• IP Addresses in PowerShell
• IP Routing in PowerShell
• DNS Clients in PowerShell
• Windows Firewall Settings in PowerShell

Module 6: Windows Server Settings Using PowerShell Cmdlets

• Automate Management Tasks Using the Group Policy Management cmdlets
• Server Roles and Services Using PowerShell cmdlets
• Hyper-V Virtual Machines Using PowerShell cmdlets
• Internet Information Services Using PowerShell cmdlets

Module 7: Settings for a Local Windows Machine Using PowerShell cmdlets

• Manage Windows 10 Using PowerShell
• Manage Permissions with PowerShell

Module 8: Windows PowerShell Pipeline

• Review Windows PowerShell Pipeline and its Output
• Discover Object Members in PowerShell
• Control the Formatting of Pipeline Output

Module 9: Select, Sort, and Measure Objects Using the Pipeline

• Sort and Group Objects by Property in the Pipeline
• Measure Objects in the Pipeline
• Select a Set of Objects in the Pipeline
• Select Object Properties in the Pipeline
• Create and Format Calculated Properties in the Pipeline

Module 10: Filter Objects Out of the Pipeline

• Comparison Operators
• Review Basic Filter Syntax in the Pipeline
• Review Advanced Filter Syntax in the Pipeline
• Optimise the Filter Performance in the Pipeline

Module 11: Enumerate Objects in the Pipeline

• Enumerations in the Pipeline
• Review Basic Syntax to Enumerate Objects
• Review Advanced Syntax to Enumerate Objects

Module 12: Send and Pass Data as Output from the Pipeline

• Write Pipeline Data to a File
• Convert Pipeline Objects to Other Forms of Data
• Control Additional Output Options

Module 13: Pass Pipeline Objects

• Pipeline Parameter Binding
• Identify ByValue Parameters
• Pass Data by Using ByValue
• Pass Data by Using ByPropertyName
• Identify ByPropertyName Parameters
• Use Manual Parameters to Override the Pipeline
• Use Parenthetical Commands
• Expand Property Values

Module 14: Connect with Data Stores Using PowerShell Providers

• Define Windows PowerShell providers
• Review the Built-in Providers in PowerShell
• Access Provider Help in PowerShell

Module 15: Use PowerShell Drives in PowerShell

• PowerShell Drives in PowerShell
• Use PowerShell Drive cmdlets in PowerShell
• File System in PowerShell
• Registry in PowerShell
• Work with Certificates
• Work with Other PowerShell Drives

Module 16: Review CIM and WMI

• Review Architecture of CIM and WMI
• Review Repositories in CIM and WMI
• Locate Online Class Documentation by Using CIM and WMI cmdlets

Module 17: Query Configuration Information by Using CIM and WMI

• List Local Repository Namespaces and Classes by Using CIM and WMI
• Query Instances by Using Commands and WMI Query Language
• Connect to Remote Computers by Using CIM and WMI cmdlets
• Query Repository Classes from Remote Computers by Using CIMSession Objects

Module 18: Query and Manipulate Repository Objects by Using CIM and WMI Methods

• Discover Methods of Repository Objects by Using CIM and WMI
• Locate Class Methods and Documentation by Using CIM and WMI
• Invoke Methods of Repository Objects by Using CIM and WMI

Module 19: Manage Variables in Windows PowerShell Scripts

• Variables in Windows PowerShell Scripts
• Create Variable Names in Windows PowerShell Scripts
• Assign Values and Types to Variables
• Methods and Properties of Variables in Windows PowerShell Scripts
• String Variables and Methods in Windows PowerShell Scripts
• Date Variables and Methods in Windows PowerShell Scripts

Module 20: Work with Arrays and Hash Tables in Windows PowerShell Scripts

• Array in Windows PowerShell Scripts
• Work with Array Lists
• Define Hash Tables
• Work with Hash Tables

Module 21: Create and Run Scripts by Using Windows PowerShell

• Review Windows PowerShell Scripts
• Modify Scripts in the PowerShell Gallery
• Create Scripts using Windows PowerShell
• Review the PowerShellGet Module in Windows PowerShell
• Run Scripts and Set the Execution Policy in Windows PowerShell
• Review Windows PowerShell and AppLocker
• Sign the Scripts Digitally in Windows PowerShell

Module 22: Work with Scripting Constructs in Windows PowerShell

• ForEach loop in Windows PowerShell Scripts
• If construct in Windows PowerShell Scripts
• Switch Construct in Windows PowerShell Scripts
• For Construct in Windows PowerShell Scripts
• Other Loop Constructs in Windows PowerShell Scripts
• Break and Continue in Windows PowerShell Scripts

Module 23: Import Data in Different Formats for Use in Scripts by Using Windows PowerShell cmdlets

• Get-Content Command
• Import-Csv cmdlet
• Import-Clixml cmdlet
• ConvertFrom-Json cmdlet

Module 24: Use Methods to Accept User Inputs in Windows PowerShell Scripts

• Identify Values that Might Change
• Use the Read-Host cmdlet
• Use the Get-Credential cmdlet
• Use the Out-GridView cmdlet
• Pass Parameters to a Windows PowerShell Script

Module 25: Troubleshoot Scripts and Handle Errors in Windows PowerShell

• Interpret Error Messages Generated for Windows PowerShell Commands
• Add Output to Windows PowerShell Scripts
• Use Breakpoints in Windows PowerShell Scripts
• Interpret Error Actions for Windows PowerShell Commands

Module 26: Use Functions and Modules in Windows PowerShell Scripts

• Review Functions in Windows PowerShell Scripts
• Use Variable Scope in Windows PowerShell Scripts
• Create Modules in Windows PowerShell Scripts
• Use the Dot Sourcing Feature in Windows PowerShell

Module 27: Manage Single and Multiple Computers by Using Windows PowerShell Remoting

• Review the Remoting Feature of Windows PowerShell
• Compare Remoting with Remote Connectivity
• Review the Remoting Security Feature of Windows PowerShell
• Enable Remoting by Using Windows PowerShell
• Use One-to-One Remoting by Using Windows PowerShell
• Use One-to-Many Remoting by Using Windows PowerShell
• Compare Remoting Output with Local Output

Module 28: Use Advanced Windows PowerShell Remoting Techniques

• Review Common Remoting Techniques of Windows PowerShell
• Send Parameters to Remote Computers in Windows PowerShell
• Set Access Protection to Variables, Aliases, and Functions by Using the Scope Modifier
• Enable Multi-Hop Remoting in Windows PowerShell

Module 29: Persistent Connections to Remote Computers by Using Windows PowerShell Sessions

• Review Persistent Connections in Windows PowerShell
• Create and Manage Persistent PSSessions by using Windows PowerShell
• Disconnect PSSessions by Using Windows PowerShell
• Review the Feature of Implicit Remoting in Windows PowerShell

Module 30: Review Azure PowerShell Module

• Azure PowerShell
• Benefits of the Azure PowerShell Module
• Install the Azure PowerShell Module
• Migrate Azure PowerShell from AzureRM to Azure
• Review Microsoft Azure Active Directory Module for Windows PowerShell and Azure Active Directory PowerShell

Module 31: Review the Features and Tools for Azure Cloud Shell

• Characteristics of Azure Cloud Shell
• Features and Tools of Azure Cloud Shell
• Configure and Experiment with Azure Cloud Shell

Module 32: Manage Azure Resources with Windows PowerShell

• New Azure Virtual Machine by Using Windows PowerShell Commands
• Azure Virtual Machines by Using Windows PowerShell Commands
• Azure Related Storage by Using Azure PowerShell
• Azure Subscriptions by Using Azure PowerShell

Module 33: Manage Users, Groups, and Licenses in Azure AD by Using Windows PowerShell

• Benefits to Manage Microsoft 365 Services by Using Windows PowerShell
• Connect to the Microsoft 365 Tenant by Using Windows PowerShell
• Users in Microsoft 365 by Using Windows PowerShell
• Groups in Microsoft 365 by Using Windows PowerShell
• Roles in Microsoft 365 by Using Windows PowerShell
• Licenses in Microsoft 365 by Using Windows PowerShell

Module 34: Manage Exchange Online by Using Windows PowerShell

• Connect to Exchange Online by Using Windows PowerShell
• Mailboxes in Exchange Online by Using Windows PowerShell
• Resources in Exchange Online by Using Windows PowerShell
• Admin Roles in Exchange Online by Using Windows PowerShell

Module 35: Manage SharePoint Online by Using Windows PowerShell

• Install and Connect to SharePoint Online Management Shell by Using Windows PowerShell
• SharePoint Online Users and Groups by Using Windows PowerShell
• SharePoint Sites by Using Windows PowerShell
• SharePoint Online External User Sharing by Using Windows PowerShell

Module 36: Manage Microsoft Teams by Using Windows PowerShell

• Review Microsoft Teams PowerShell Module
• Install the Microsoft Teams PowerShell Module
• Manage Teams with Microsoft Teams PowerShell Module

Module 37: Create and Manage Background Jobs Using Windows PowerShell

• Types of Background Jobs in Windows PowerShell
• Start Remote Jobs and CIM/WMI Jobs in Windows PowerShell
• Monitor Jobs in Windows PowerShell
• Retrieve Results for Running Jobs in Windows PowerShell

Module 38: Create and Manage Scheduled Jobs Using Windows PowerShell

• Create and Run Windows PowerShell Scripts as Scheduled Tasks
• Define Scheduled Jobs in Windows PowerShell
• Create Job Option and Job Trigger objects in Windows PowerShell
• Create and Register a Scheduled Job in Windows PowerShell
• Retrieve the Results from a Scheduled Job in Windows PowerShell

Microsoft Azure Data Fundamentals DP-900 Course Outline

Module 1: Explore Core Data Concepts

• Introduction
• Identify Data Formats
• Explore File Storage
• Explore Databases
• Explore Transactional Data Processing
• Explore Analytical Data Processing

Module 2: Explore Data Roles and Services

• Introduction
• Explore Job Roles in the World of Data
• Identify Data Services

Module 3: Explore Fundamental Relational Data Concepts

• Introduction
• Understand Relational Data
• Understand Normalisation
• Explore SQL
• Describe Database Objects

Module 4: Explore Relational Database Services in Azure

• Introduction
• Describe Azure SQL Services and Capabilities
• Describe Azure Services for Open-Source Databases
• Exercise: Explore Azure Relational Database Services

Module 5: Explore Azure Storage for Non-Relational Data

• Introduction
• Explore Azure Blob Storage
• Explore Azure DataLake Storage Gen2
• Explore Azure Files
• Explore Azure Tables
• Exercise: Explore Azure Storage

Module 6: Explore Fundamentals of Azure Cosmos DB

• Introduction
• Describe Azure Cosmos DB
• Identify Azure Cosmos DB APIs
• Exercise: Explore Azure Cosmos DB

Module 7: Explore Fundamentals of Large-Scale Data Warehousing

• Introduction
• Describe Data Warehousing Architecture
• Explore Data Ingestion Pipelines
• Explore Analytical Data Stores
• Exercise: Explore Data Analytics in Azure with Azure Synapse Analytics

Module 8: Explore Fundamentals of Real-Time Analytics

• Introduction
• Understand Batch and Stream Processing
• Explore Common Elements of Stream Processing Architecture
• Explore Azure Stream Analytics
• Exercise: Explore Azure Stream Analytics
• Explore Apache Spark on Microsoft Azure
• Exercise: Explore Spark Streaming in Azure Synapse Analytics

Module 9: Explore Fundamentals of Data Visualisation

• Introduction
• Understand Batch and Stream Processing
• Explore Common Elements of Stream Processing Architecture
• Explore Azure Stream Analytics
• Exercise: Explore Azure Stream Analytics
• Explore Apache Spark on Microsoft Azure
• Exercise: Explore Spark Streaming in Azure Synapse Analytics

Microsoft Azure AI Fundamentals AI-900 Course Outline

Module 1: Get Started with AI on Azure

• Introduction to AI
• Understand Machine Learning
• Understand Anomaly Detection
• Understand Computer Vision
• Understand Natural Language Processing
• Understand Knowledge Mining
• Challenges and Risks with AI
• Understand Responsible AI

Module 2: Use Automated Machine Learning in Azure Machine Learning

• Introduction
• What is Machine Learning?
• What is Azure Machine Learning Studio?
• What is Azure Automated Machine Learning?
• Understand the AutoML Process
• Exercise - Explore Automated Machine Learning in Azure Machine Learning

Module 3: Create a Regression Model with Azure Machine Learning Designer

• Introduction
• Identify Regression Machine Learning Scenarios
• What is Azure Machine Learning?
• What is Azure Machine Learning Designer?
• Understand Steps for Regression
• Exercise - Explore regression with Azure Machine Learning Designer

Module 4: Create a Classification model with Azure Machine Learning Designer

• Introduction
• Identify Classification Machine Learning Scenarios
• What is Azure Machine Learning?
• What is Azure Machine Learning Designer?
• Understand Steps for Classification
• Exercise - Explore Classification with Azure Machine Learning designer

Module 5: Create a Clustering Model with Azure Machine Learning Designer

• Introduction
• Identify Clustering Machine Learning Scenarios
• What is Azure Machine Learning?
• What is Azure Machine Learning Designer?
• Understand Steps for Clustering
• Exercise - Explore Clustering with Azure Machine Learning Designer

Module 6: Analyse Images with Azure AI Vision

• Introduction
• Get Started with Image Analysis on Azure
• Exercise - Explore Computer Vision

Module 7: Classify Images with Azure AI Custom Vision

• Introduction
• Understand Classification
• Get started with Image Classification on Azure
• Exercise - Explore Image Classification

Module 8: Detect Objects in Images with Azure AI Custom Vision

• Introduction
• What is Object Detection?
• Get Started with Object Detection on Azure
• Exercise - Explore Object Detection

Module 9: Detect and Analyse Faces with Azure AI Face

• Introduction
• Get Started with Face Analysis on Azure
• Exercise - Explore Face Detection

Module 10: Read Text with Azure AI Computer Vision

• Introduction
• Get Started with the Read API on Azure
• Exercise - Explore Optical Character Recognition with the Read API

Module 11: Analyse Receipts with Azure AI Document Intelligence

• Introduction
• Get Started with Receipt Analysis on Azure
• Exercise - Explore form Recognition

Module 12: Analyse Text with Azure AI Language

• Introduction
• Get Started with Receipt Analysis on Azure
• Exercise - Explore form Recognition

Module 13: Recognise and Synthesize Speech with Azure AI Speech

• Introduction
• Get Started with Receipt Analysis on Azure
• Exercise - Explore form Recognition

Module 14: Translate Text and speech with Azure AI services

• Introduction
• Get Started with Translation in Azure
• Exercise - Explore Translation

Module 15: Create a Language Model with Azure AI Language

• Introduction
• Get Started with Conversational Language Understanding
• Exercise - Explore Language Understanding

Module 16: Build a Bot with Azure AI Language and Azure AI Bot Service

• Introduction
• Get Started with the Language Service and Azure Bot Service
• Exercise - Explore Question Answering

Designing and Implementing CloudNative Applications Using Microsoft Azure Cosmos DB DP420 Course Outline

Module 1: Get Started with Azure Cosmos DB for NoSQL

• Introduction to Azure Cosmos DB for NoSQL
  • Introduction
  • What Is Azure Cosmos DB for NoSQL?
  • How Does Azure Cosmos DB for NoSQL Work?
  • When Should You Use Azure Cosmos DB for NoSQL?
• Try Azure Cosmos DB for NoSQL
  • Introduction
  • Explore Resources
  • Review Basic Operations
  • Exercise: Create an Azure Cosmos DB for NoSQL Account

Module 2: Plan and Implement Azure Cosmos DB for NoSQL

• Plan Resource Requirements
  • Introduction
  • Understand Throughput
  • Evaluate Throughput Requirements
  • Evaluate Data Storage Requirements
  • Time-to-Live (TTL)
  • Plan for Data Retention with Time-to-Live (TTL)
• Configure Azure Cosmos DB for NoSQL Database and Containers
  • Introduction
  • Serverless
  • Compare Serverless Vs. Provisioned Throughput
  • Autoscale Throughput
  • Compare Autoscale Vs. Standard (Manual) Throughput
  • Migrate Between Standard (Manual) and Autoscale Throughput
  • Exercise: Configure Throughput for Azure Cosmos DB SQL API with the Azure Portal
• Move Data into and Out of Azure Cosmos DB for NoSQL
  • Introduction
  • Move Data by Using Azure Data Factory
  • Move Data by Using a Kafka Connector
  • Move Data by Using Stream Analytics
  • Move Data by Using the Azure Cosmos DB Spark Connector
  • Exercise: Migrate Existing Data Using Azure Data Factory

Module 3: Connect to Azure Cosmos DB for NoSQL with the SDK

• Use the Azure Cosmos DB for NoSQL SDK
  • Introduction
  • Understand the SDK
  • Import from Package Manager
  • Connect to an Online Account
  • Implement Client Singleton
  • Configure Connectivity Mode
  • Exercise: Connect to Azure Cosmos DB for NoSQL with the SDK
• Configure the Azure Cosmos DB for NoSQL SDK
  • Introduction
  • Enable Offline Development
  • Handle Connection Errors
  • Implement Threading and Parallelism
  • Configure Logging
  • Exercise: Configure the Azure Cosmos DB for NoSQL SDK for Offline Development

Module 4: Access and Manage Data with the Azure Cosmos DB for NoSQL SDKs

• Implement Azure Cosmos DB for NoSQL Point Operations
  • Introduction
  • Understand Point Operations
  • Create Documents
  • Read a Document
  • Update Documents
  • Configure Time-to-Live (TTL) Value for a Specific Document
  • Delete Documents
  • Exercise: Create and Update Documents with the Azure Cosmos DB for NoSQL SDK
• Perform Cross-Document Transactional Operations with the Azure Cosmos DB for NoSQL
  • Introduction
  • Create a Transactional Batch with the SDK
  • Review Batch Operation Results with the SDK
  • Exercise: Batch Multiple Point Operations Together with the Azure Cosmos DB for NoSQL SDK
  • Implement Optimistic Concurrency Control
• Process Bulk Data in Azure Cosmos DB for NoSQL
  • Introduction
  • Create Bulk Operations with the SDK
  • Review Bulk Operation Caveats
  • Implement Bulk Best Practices
  • Exercise: Move Multiple Documents in Bulk with the Azure Cosmos DB for NoSQL SDK

Module 5: Execute Queries in Azure Cosmos DB for NoSQL

• Query the Azure Cosmos DB for NoSQL
  • Introduction
  • Understand SQL Query Language
  • Create Queries with SQL
  • Project Query Results
  • Implement Type-Checking in Queries
  • Use Built-In Functions
  • Execute Queries in the SDK
  • Exercise: Execute a Query with the Azure Cosmos DB for NoSQL SDK
• Author Complex Queries with the Azure Cosmos DB for NoSQL
  • Introduction
  • Create Cross-Product Queries
  • Implement Correlated Subqueries
  • Implement Variables in Queries
  • Paginate Query Results
  • Exercise: Paginate Cross-Product Query Results with the Azure Cosmos DB for NoSQL SDK

Module 6: Define and Implement an Indexing Strategy for Azure Cosmos DB for NoSQL

• Define Indexes in Azure Cosmos DB for NoSQL
  • Introduction
  • Understand Indexes
  • Understand Indexing Policies
  • Review Indexing Policy Strategies
  • Exercise: Review the Default Index Policy for an Azure Cosmos DB for NoSQL Container with the Portal
• Customise Indexes in Azure Cosmos DB for NoSQL
  • Introduction
  • Customise the Indexing Policy
  • Evaluate Composite Indexes
  • Exercise: Configure an Azure Cosmos DB for NoSQL Container's Index Policy with the Portal

Module 7: Integrate Azure Cosmos DB for NoSQL with Azure Services

• Consume an Azure Cosmos DB for NoSQL Change Feed Using the SDK
  • Introduction
  • Understand Change Feed Features in the SDK
  • Implement a Delegate for the Change Feed Processor
  • Implement the Change Feed Processor
  • Implement the Change Feed Estimator
  • Exercise: Process Change Feed Events Using the Azure Cosmos DB for NoSQL SDK
• Handle Events with Azure Functions and Azure Cosmos DB for NoSQL Change Feed
  • Introduction
  • Understand Azure Function Bindings for Azure Cosmos DB for NoSQL
  • Configure Function Bindings
  • Develop Function
  • Exercise: Process Azure Cosmos DB for NoSQL Data Using Azure Functions
• Search Azure Cosmos DB for NoSQL Data with Azure Cognitive Search
  • Introduction
  • Create an Indexer for Data in Azure Cosmos DB for NoSQL
  • Implement a Change Detection Policy
  • Manage a Data Deletion Detection Policy
  • Exercise: Search Data Using Azure Cognitive Search and Azure Cosmos DB for NoSQL

Module 8: Implement a Data Modeling and Partitioning Strategy for Azure Cosmos DB for NoSQL

• Implement a Non-Relational Data Model
  • Introduction
  • What's the Difference Between NoSQL and Relational Databases?
  • Identify Access Patterns for Your App
  • When to Embed or Reference Data?
  • Exercise: Measure Performance for Customer Entities
  • Choose a Partition Key
  • Model Small Lookup Entities
• Design a Data Partitioning Strategy
  • Introduction
  • Denormalise Data in Your Model
  • Manage Referential Integrity by Using Change Feed
  • Combine Multiple Entities in the Same Container
  • Denormalise Aggregates in the Same Container
  • Finalise the Data Model