Microsoft Azure Training - Belgium

This course and exam has been retired and replaced with Microsoft Azure Administration AZ104

Microsoft Azure Administration Course Outline | M-AZ103

Module 1: Azure Administration

In this module, delegates will learn about Azure Administrator uses to manage their infrastructure. This module includes Azure Portal, Azure PowerShell, Cloud Shell, CLI, resource manager, and resource manager templates.

Lesson

• Resource Groups
• Azure PowerShell and CLI
• Resource Manager
• ARM Templates

Module 2: Virtual Machines

This module describes Azure virtual machines including planning, creating, availability and extensions.

Lesson

• Virtual Machine Planning
• Creating Virtual Machines
• Virtual Machine Availability
• Virtual Machine Extensions
• Lab: Deploy and Manage Virtual Machines

Module 3: Azure Storage

In this module, delegates will learn about basic storage features, including storage accounts, blob storage, Azure files, and storage security.

Lesson

• Storage Accounts
• Azure Blobs
• Azure Files
• Storage Security
• Lab: Deploy and Manage Virtual Machines

Module 4: Virtual Networking

In this module, delegates will gain knowledge of virtual networks, IP addressing, Azure DNS, and network security groups.

Lesson

• Virtual Networks
• IP Addressing
• Azure DNS
• Network Security Groups
• Lab: Implement and Manage Virtual Networking

Module 5: Data Protection

This data protection module describes data replication strategies, backing up files and folders, and virtual machine backups.

Lesson

• Data Replication
• File and Folder Backups
• Virtual Machine Backups
• Lab: Azure Site Recovery Between Regions

Module 6: Intersite Connectivity

In this module, delegates will learn about intersite connectivity features, including VNet Peering, VNet-to-VNet connections, Site-to-Site Connections, and ExpressRoute.

Lesson

• Service Endpoints and Network Routing
• VNet-to-VNet Connections
• ExpressRoute
• Lab: VNet Peering and Service Chaining

Module 7: Network Traffic Management

This module explains network traffic strategies, including service endpoints, network routing, Azure Load Balancer, and Azure Traffic Manager.

Lesson

• Service Endpoints and Network Routing
• Azure Load Balancer
• Azure Traffic Manager
• Lab: Load Balancer and Traffic Manager

Module 8: Subscriptions and Accounts

In this module, delegates will gain knowledge about managing subscriptions and accounts, including role-based access control, users and groups, Azure policy, and billing.

Lesson

• Subscriptions and Accounts
• Role-Based Access Control
• Users and Groups
• Azure Policy
• Billing
• Lab: Governance and Compliance

Module 9: Azure Active Directory

In this module, delegates will learn about Azure Active Directory (AD), including Azure AD Connect and Azure AD Join.

Lesson

• Azure Active Directory
• Azure AD Connect
• Azure AD Join
• Lab: Implement Directory Synchronisation

Module 10: Securing Identities

This module explains how to secure identities, including multi-factor authentication, self-service password reset, Azure AD identity protection.

Lesson

• Multi-Factor Authentication
• Azure AD Identity Protection
• Self-Service Password Reset
• Lab: Azure AD Identity Protection and Self-Service Password Reset

Module 11: Sharing Data

In this module, delegates will learn about how to share data using import and export service, content delivery network, data box, and file sync.

Lesson

• Import and Export Service
• Data Box
• Content Delivery Network
• File Sync
• Lab: File Sync

Module 12: Monitoring

This module explains monitoring Azure infrastructure, alerting, log analytics, and network watcher.

Lesson

• Azure Monitor
• Azure Alerts
• Log Analytics
• Network Watcher
• Lab: File Sync

Developing Solutions for Microsoft Azure AZ204 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

Within this Microsoft training course, you will learn the following modules:

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: Desing 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

Microsoft Azure Security Technologies AZ500 Course Outline

Within this Microsoft training course, you will learn the following modules:

Module 1: Secure Azure Solutions with Azure Active Directory

• Introduction
• Explore Azure Active Directory Features
• Self-Managed Active Directory Domain Services, Azure Active Directory, and Managed Azure Active Directory Domain Services
• Azure AD DS and Self-Managed AD DS
• Azure AD DS and Azure AD
• Investigate Roles in Azure AD
• Azure AD Built-in Roles
• Deploy Azure AD Domain Services
• Create and Manage Azure AD Users
• Manage Users with Azure AD Groups
• Configure Azure AD Administrative Units
• Implement Passwordless Authentication
• Explore Try-This Exercises

Module 2: Implement Hybrid Identity

• Introduction
• Deploy Azure AD Connect
• Explore Authentication Options
• Configure Password Hash Synchronisation (PHS)
• Implement Pass-Through Authentication (PTA)
• Deploy Federation with Azure AD
• Explore the Authentication Decision Tree
• Configure Password Writeback

Module 3: Deploy Azure AD identity protection

• Introduction
• Explore Azure AD Identity Protection
• Configure Risk Event Detections
• Implement User Risk Policy
• Implement Sign-in Risk Policy
• Deploy Multifactor Authentication in Azure
• Explore Multifactor Authentication Settings
• Enable Multifactor Authentication
• Implement Azure AD Conditional Access
• Configure Conditional Access Conditions
• Implement Access reviews
• Explore Try-This Exercises

Module 4: Configure Azure AD Privileged Identity Management

• Introduction
• Explore the Zero Trust Model
• Review the Evolution of Identity Management
• Deploy Azure AD Privileged Identity Management
• Configure Privileged Identity Management Scope
• Implement Privileged Identity Management Onboarding
• Explore Privileged Identity Management Configuration Settings
• Implement a Privileged Identity Management Workflow
• Explore Try-This Exercises

Module 5: Design an Enterprise Governance Strategy

• Introduction
• Review the Shared Responsibility Model
• Explore the Azure Cloud Security Advantages
• Review Azure Hierarchy of Systems
• Configure Azure Policies
• Enable Azure Role-Based Access Control (RBAC)
• Compare and Contrast Azure RBAC vs Azure Policies
• Configure Built-in Roles
• Enable Resource Locks
• Deploy Azure Blueprints
• Design an Azure Subscription Management Plan
• Explore Try-This Exercises

Module 6: Implement Perimeter Security

• Introduction
• Define Defense in Depth
• Explore Virtual Network Security
• Enable Distributed Denial of Service (DDoS) Protection
• Configure a Distributed Denial of Service Protection Implementation
• Explore Azure Firewall Features
• Deploy an Azure Firewall Implementation
• Configure VPN Forced Tunneling
• Create User Defined Routes and Network Virtual Appliances
• Explore Hub and Spoke Topology
• Perform Try-this Exercises

Module 7: Configure Network Security

• Introduction
• Explore Network Security Groups (NSG)
• Deploy a Network Security Groups Implementation
• Create Application Security Groups
• Enable Service Endpoints
• Configure Service Endpoint Services
• Deploy Private Links
• Implement an Azure Application Gateway
• Deploy a Web Application Firewall
• Configure and Manage Azure Front Door
• Review ExpressRoute
• Perform Try-This Exercises

Module 8: Configure and Manage Host Security

• Introduction
• Enable Endpoint Protection
• Define a Privileged Access Device Strategy
• Deploy Privileged Access Workstations
• Create Virtual Machine Templates
• Enable and Secure Remote Access Management
• Configure Update Management
• Deploy Disk Encryption
• Managed Disk Encryption Options
• Deploy and Configure Windows Defender
• Microsoft Cloud Security Benchmark in Defender for Cloud
• Explore Microsoft Defender for Cloud Recommendations
• Perform Try-This Exercises

Module 9: Enable Containers Security

• Introduction
• Explore Containers
• Configure Azure Container Instances Security
• Manage Security for Azure Container Instances (ACI)
• Explore the Azure Container Registry (ACR)
• Enable Azure Container Registry Authentication
• Review Azure Kubernetes Service (AKS)
• Implement an Azure Kubernetes Service Architecture
• Configure Azure Kubernetes Service Networking
• Deploy Azure Kubernetes Service Storage
• Secure Authentication to Azure Kubernetes Service with Active Directory
• Manage Access to Azure Kubernetes Service using Azure Role-Based Access Controls

Module 10: Deploy and Secure Azure Key Vault

• Introduction
• Explore Azure Key Vault
• Configure Key Vault Access
• Review a Secure Key Vault Example
• Deploy and Manage Key Vault Certificates
• Create Key Vault Keys
• Manage Customer Managed Keys
• Enable Key Vault Secrets
• Configure Key Rotation
• Manage Key Vault Safety and Recovery Features
• Perform Try-This Exercises
• Explore the Azure Hardware Security Module

Module 11: Configure Application Security Features

• Introduction
• Review the Microsoft Identity Platform
• Explore the Application Model
• Register an Application with App Registration
• Configure Microsoft Graph Permissions
• Enable Managed Identities
• Azure App Services
• App Service Environment
• Azure App Service Plan
• App Service Environment Networking
• Availability Zone Support for App Service Environments
• App Service Environment Certificates
• Perform Try-This Exercises

Module 12: Implement Storage Security

• Introduction
• Define Data Sovereignty
• Configure Azure Storage Access
• Deploy Shared Access Signatures
• Manage Azure AD Storage Authentication
• Implement Storage Service Encryption
• Configure Blob Data Retention Policies
• Configure Azure Files Authentication
• Enable the Secure Transfer Required Property
• Perform Try-This Exercises

Module 13: Configure and Manage SQL Database Security

• Introduction
• Enable SQL Database Authentication
• Configure SQL Database Firewalls
• Enable and Monitor Database Auditing
• Implement Data Discovery and Classification
• Microsoft Defender for SQL
• Vulnerability Assessment for SQL Server
• SQL Advanced Threat Protection
• Explore Detection of a Suspicious Event
• SQL Vulnerability Assessment Express and Classic Configurations
• Configure Dynamic Data Masking
• Implement Transparent Data Encryption
• Deploy Always Encrypted Features
• Deploy an Always Encrypted Implementation
• Perform Try-This Exercises

Module 14: Configure and Manage Azure Monitor

• Introduction
• Explore Azure Monitor
• Configure and Monitor Metrics and Logs
• Enable Log Analytics
• Manage Connected Sources for Log Analytics
• Enable Azure Monitor Alerts
• Configure Properties for Diagnostic Logging
• Perform Try-This Exercises

Module 15: Enable and Manage Microsoft Defender for Cloud

• Introduction
• MITRE Attack Matrix
• Implement Microsoft Defender for Cloud
• Security Posture
• Workload Protections
• Deploy Microsoft Defender for Cloud
• Azure Arc
• Azure Arc Capabilities
• Microsoft Cloud Security Benchmark
• Configure Microsoft Defender for Cloud Security Policies
• View and Edit Security Policies
• Manage and Implement Microsoft Defender for Cloud Recommendations
• Explore Secure Score
• Define Brute Force Attacks
• Understand Just-in-Time VM Access
• Implement Just-in-Time VM Access
• Perform Try-This Exercises

Module 16: Configure and Monitor Microsoft Sentinel

• Introduction
• Enable Microsoft Sentinel
• Configure Data Connections to Sentinel
• Create Workbooks to Monitor Sentinel Data
• Enable Rules to Create Incidents
• Configure Playbooks
• Hunt and Investigate Potential Breaches

Designing and Implementing a Data Science Solution on Azure DP100 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 AI102 Course Outline

Within this Microsoft training, you will learn the following modules:

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

This module will explain about benefits and architecture of Azure SQL DB.

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

Microsoft Azure Big Data Analytics Solutions Course Outline | M55224-1

Module 1: Design Big Data Batch Processing and Interactive Solutions

• Ingest Data for Batch Processing
• Design for Batch Processing
• Design Interactive Queries
• Review
• Lab

Module 2: Design Big Data Real-Time Processing Solutions

• Ingest Data for Real-Time Processing
• Design for Real-Time Processing
• Design Interactive Queries for Big Data
• Review
• Lab

Module 3: Operatinalise End-to-End Cloud Analytics Solutions

• Create a Data Factory
• Create a Data-Driven Workflow
• Monitor and Manage the Data Factory
• Move, Transform and Analyse Data
• Design a Deployment Strategy for an End-To-End Solution
• Review
• Lab

Module 4: PowerShell for Technology Professionals

• Introduction
• Compared to Other Scripting Languages
• Configuring and Using PowerShell
• Creating and Running Scripts
• Administering Local Resources
• Administering Network Resources
• Resolve PowerShell Scripting Problems
• Lab

Planning and Administering Microsoft Azure for SAP Workloads Course Outline | MAZ120

Module 1: Explore Azure for SAP Workloads

• Introduction to Azure for SAP Workloads
• Discover the SAP and Microsoft Partnership
• Explore Your Options with SAP on Azure
• Evaluate Microsoft Components

Module 2: Discover Common Terms and Meanings for SAP on Azure

• Introduction
• Discover Common Terms and Meanings: SAP
• Discover Common Terms and Meanings: SAP Deployments on Azure
• Discover Common Terms and Meanings: Azure

Module 3: Identify SAP-Certified Configurations

• Introduction
• Explore General Prerequisites for SAP Support in Public Cloud Environments
• Identify Deployment Options for SAP Solutions on Azure
• Discover Supported Azure Virtual Machines for SAP Products on Windows and Linux
• Discover Supported Azure Virtual Machines for SAP NetWeaver Instances
• Discover SAP-Certified Operating Systems for Azure Virtual Machines
• Discover SAP Certifications and Configurations Running on Microsoft Azure

Module 4: Examine SAP NetWeaver with AnyDB on Azure Virtual Machines

• Introduction
• Explore SAP NetWeaver with AnyDB on Azure Virtual Machines
• Recognise Architectural Components
• Examine a Sample Functional Workflow

Module 5: Examine SAP S/4HANA on Azure Virtual Machines

• Introduction
• Explore SAP S/4HANA on Azure Virtual Machines
• Recognise Architectural Components
• Examine a Sample Functional Workflow

Module 6: Explore Azure for SAP Compute

• Introduction
• Plan for Implementing SAP Solutions
• Explore Azure Virtual Machines (VMs)
• Examine Constrained vCPU Capable Virtual Machine Sizes
• Scale Azure Virtual Machines
• Examine Azure Virtual Machine Scaling Considerations
• Explore Network Bandwidth Allocation
• Explore Data Flows
• Examine Azure Virtual Machine Compute Considerations
• Implement and Verify High Availability SAP HANA on Azure Virtual Machines

Module 7: Explore Azure for SAP Networking

• Introduction
• Explore Azure Virtual Networks
• Consider IP Addressing
• Explore Name Resolution
• Explore Accelerated Networking
• Explore Azure Load Balancer
• Examine Azure Virtual Machine Networking Considerations
• Examine Load Balancing Considerations
• Explore Azure Traffic Manager
• Explore Azure Front Door
• Explore Azure Firewall
• Consider Networking Changes for Azure Virtual Machines
• Examine Azure Routing Configurations
• Explore Virtual Network Connectivity
• Explore Distributed Denial-of-Service (DDoS) Protection Options
• Examine the Virtual Datacenter
• Explore Cross-Premises Connectivity
• Explore SAProuter
• Examine Networking Support of Azure for SAP Workloads

Module 8: Explore Azure for SAP Storage

• Introduction
• Explore Azure Storage Types
• Explore Azure Files
• Examine Azure Virtual Machine Disks
• Recognise Virtual Machine Images and Disks
• Explore Managed and Unmanaged Disks
• Explore Caching for Virtual Machines and Data Disks
• Explore Write Accelerator
• Examine General Database Sizing
• Examine Azure Virtual Machine Storage Considerations
• Examine SAP HANA Dynamic Tiering 2.0
• Explore Azure Virtual Machine Disks Best Practices
• Explore Azure Virtual Machine NFS Storage
• Explore Azure Virtual Machine SMB Storage
• Examine SAP HANA Azure Virtual Machine Storage Configurations
• Explore Solutions with Premium Storage and Azure Write Accelerator for Azure M-Series Virtual Machines
• Explore Azure Ultra Disk Storage Configuration for SAP HANA
• Explore NFS v4.1 Volumes on Azure NetApp Files
• Examine Sizing for HANA Databases on Azure NetApp Files

Module 9: Explore Azure for SAP Databases

• Introduction
• Explore Database Support of Azure for SAP Workloads
• Explore SQL Server
• Consider Database Compression
• Store Database Files Directly on Azure Blob Storage
• Explore Azure Virtual Machine Security
• Consider Security Recommendations for Blob Storage
• Apply SQL Server Transparent Data Encryption
• Explore the SQL Server 2014 Buffer Pool Extension
• Examine Oracle Recommendations
• Lab - Implement Linux Clustering for SAP on Azure Virtual Machines
• Lab - Implement Windows Clustering for SAP on Azure Virtual Machines

Module 10: Explore Identity Services for SAP on Azure

• Introduction
• Explore Azure Virtual Machine Authentication, Authorisation, and Access Control
• Explore Azure Active Directory (Azure AD)
• Explore SAP Cloud Platform Identity Authentication
• Integrate Azure Active Directory with SAP Cloud Platform Identity Authentication
• Integrate Azure Active Directory with SAP Fiori
• Integrate Azure Active Directory with SAP HANA
• Integrate Azure Active Directory with SAP NetWeaver
• Integrate Active Directory with SAP Single Sign-On (Kerberos-SPNEGO)
• Discover Active Directory Domain Services (AD DS)
• Explore Primary Scenarios Using Active Directory Domain Services and Azure Virtual Machines
• Discover Azure Active Directory Domain Services (Azure AD DS)
• Integrate Linux with Active Directory Domain Services

Module 11: Explore Remote Management for SAP on Azure

• Introduction
• Consider Remote Management of Azure Virtual Machines
• Set Up the Azure Connector for SAP Landscape Management
• Explore Access Management
• Explore Azure Bastion
• Examine Just-in-Time (JIT) Virtual Machine Access

Module 12: Explore Governance and Manageability for SAP on Azure

• Introduction
• Explore Azure Resource Manager
• Examine Azure Resource Manager Templates
• Explore the Azure Resource Manager Template Structure and Schema
• Examine Role-Based Access Control (RBAC)
• Organise Azure Resources with Tags
• Explore Azure Policy
• Explore Management Groups
• Explore Azure Automation
• Explore Security and Compliance Services

Module 13: Deploy Single-Instance Implementations of SAP on Azure

• Introduction
• Explore Deployment Methodologies
• Deploy via Azure Resource Manager Templates
• Manually Install Single-Instance SAP HANA on Azure Virtual Machines
• Prepare Azure Virtual Machines for a Manual Installation of SAP HANA
• Discover Key Steps for SAP HANA Installation Using SAP SWPM
• Discover Key Steps for SAP HANA Installation Using HDBLCM
• Implement SAP HANA Scale-Out

Module 14: Implement High Availability in SAP NetWeaver with AnyDB on Azure Virtual Machines

• Introduction
• Implement High Availability in SAP NetWeaver with AnyDB on Azure Virtual Machines
• Examine Single SID 3-Tier SAP NetWeaver High Availability AnyDB Deployment
• Examine Multi-SID 3-Tier SAP NetWeaver High Availability AnyDB Deployment
• Set the Required DNS IP Addresses
• Add Registry Entries on Both Cluster Nodes of the SAP ASCS-SCS Instance
• Set Up a Windows Server Failover Cluster for an SAP ASCS-SCS Instance
• Install SIOS DataKeeper Cluster Edition for the SAP ASCS-SCS Cluster Shared Disk
• Implement a Highly Available NFS Share
• Lab - Implement SAP Architecture on Azure VMs Running Linux
• Lab - Implement SAP Architecture on Azure VMs Running Windows

Module 15: Implement High Availability for SAP Workloads in Azure

• Introduction
• Explore High Availability and Disaster Recovery Support of Azure for SAP Workloads
• Explore High Availability of SAP Workloads
• Examine Failover Clustering
• Explore Deployment Scenarios
• Explore High Availability of SAP Application Servers
• Explore High Availability of SAP ASCS-SCS Instances
• Examine High Availability of DBMS Instances
• Explore SAP HANA Availability
• Explore SQL Server High Availability for SAP in Azure
• Explore Oracle High Availability for SAP in Azure
• Examine High Availability Capabilities of Azure Infrastructure
• Understand Service-Level Agreements
• Explore Availability Zones
• Examine Principal Architectures
• Determine Latency Between Azure Virtual Machines Across Availability Zones
• Explore the Active/Active Deployment Scenario
• Explore the Active/Passive Deployment Scenario
• Configure Combined High Availability and Disaster Recovery

Module 16: Implement Disaster Recovery for SAP Workloads in Azure

• Introduction
• Explore Disaster Recovery of SAP Workloads
• Explore Simple Availability Between Two Azure Regions
• Combine Availability Within One Region and Across Regions
• Explore Site Recovery
• Implement Disaster Recovery for SAP Deployments Across Azure Regions with Azure Site Recovery
• Set Up Disaster Recovery for a Multi-Tier SAP NetWeaver App Deployment (in Azure)
• Replicate Azure Virtual Machines Running in Proximity Placement Groups to Another Region
• Set Up Disaster Recovery for Active Directory and DNS

Module 17: Perform Backups and Restores for SAP Workloads on Azure

• Introduction
• Explore Backup and Restore of Azure Virtual Machines
• Examine Application-Consistent Backup of Azure Linux Virtual Machines
• Explore Application Backup
• Explore Database Backup
• Explore SAP HANA Backup
• Implement SAP HANA Backup Scheduling Strategy
• Explore SAP HANA File-Level Backups
• Create SAP HANA Snapshot-Based Backups
• Explore SQL Server Backup to URL (Azure Storage)
• Explore SQL Server File-Snapshot Backups
• Explore Oracle Backup
• Explore SQL Server Backups
• Set Up Disaster Recovery for SQL Server

Module 18: Use the Planning and Deployment Checklist for SAP Workloads on Azure

• Introduction
• Examine the SAP Workload Planning and Deployment Checklist
• Explore the Project Preparation and Planning Phase
• Explore the Pilot Phase
• Explore the Non-Production Phase
• Explore the Production Preparation Phase
• Explore the Go-Live Phase
• Explore the Post-Production Phase

Module 19: Explore Migration Options for SAP on Azure

• Introduction
• Analyse Strategies for Migrating SAP Systems to Microsoft Azure
• Migrate to SAP S/4HANA from SAP Business Suite
• Compare Classical Migration with the SAP Database Migration Option (DMO)
• Analyse the SAP Database Migration Option Methodology
• Explore One-Step Migration - DMO with System Move Option
• Explore Two-Step Migration - Lift and Shift Followed by DMO
• Explore Downtime-Optimised DMO

Module 20: Migrate Very Large Databases (VLDB) to Azure for SAP

• Introduction
• Explore Very Large Database Migration
• Optimise the Source System
• Optimise the Source System - Advanced
• Optimise Network Upload
• Optimise the Target System
• Create Recommended Migration Project Documents
• Monitor the Migration
• Examine Very Large Database Migration Best Practices

Module 21: Explore Monitoring Requirements of Azure for SAP Workloads

• Introduction
• Explore the Monitoring Requirements of Azure for SAP Workloads
• Examine Monitoring, Logging, and Alerting Services
• Explore Azure Virtual Machine Monitoring Considerations
• Troubleshoot Azure Enhanced Monitoring for SAP
• Explore Azure Monitor and Log Analytics
• Explore SAP HANA Alerts
• Examine Diagnostic Tools
• Explore Operating System and Workload Updates for Azure Virtual Machines

Module 22: Configure the Azure Enhanced Monitoring Extension for SAP

• Introduction
• Explore the Azure Enhanced Monitoring Extension for SAP
• Configure the Azure Enhanced Monitoring Extension for SAP

Module 23: Explore Licensing, Pricing, and Support for SAP on Azure Virtual Machines

• Introduction
• Price Azure Virtual Machine-Based Solutions
• Explore Licensing, Pricing, and Support of Azure for SAP Workloads

Microsoft Azure Architect Design MAZ304​ Course Outline

Notes: Microsoft have retied this course and exam. Microsoft have replaced this with Designing Microsoft Azure Infrastructure Solutions AZ305

Module 1: Design a Compute Solution

• Recommending a Solution for Compute Provisioning
• Determine Appropriate Compute Technologies
• Recommending a Solution for Containers
• Recommending a Solution for Automating Compute Management

Lab: Implementing Containers on Azure

• Implement containers running in Azure VMs
• Deploy containers to Azure Container Instances
• Deploy containers to AKS clusters

Module 2: Design a Network Solution

• Recommend a Solution for Network Addressing and Name Resolution
• Recommend a Solution for Network Provisioning
• Recommend a Solution for Network Security
• Recommend a Solution for internet Connectivity and On-Premises Networks
• Recommend a Solution for Automating Network Management
• Recommend a Solution for Load Balancing and Traffic Routing

Module 3: Design for Migration

• Assess and On-Premises Servers and Applications for Migration
• Recommend a Solution for Migrating Applications and VMs
• Recommend a Solution for Migration of Databases

Module 4: Design Authentication and Authorisation

• Tips for Identity and Access Management
• Recommend a Solution for Multi-Factor Authentication
• Five Steps for Securing Identity Infrastructure
• Recommend a Solution for Single-Sign-On (SSO)
• Recommend a Solution for a Hybrid Identity
• Recommend a Solution for B2B Integration
• Recommend a Hierarchical Structure for Management Groups

Lab: Managing Azure AD Authentication and Authorisation

• Deploy an Azure VM hosting an AD DS domain controller
• Create and configure an Azure AD tenant
• Integrate an AD DS forest with an Azure AD tenant

Module 5: Design Governance

• Recommend a Solution for using Azure Policy
• Recommend a Solution for using Azure Blueprint

Module 6: Design a Solution for Databases

• Select an Appropriate Data Platform Based on Requirements
• Overview of Azure Data Storage
• Recommend Database Service Tier Sizing
• Dynamically Scale Azure SQL Database and Azure SQL Managed Instances
• Recommend a Solution for Encrypting Data at Rest, Transmission, and In Use

Module 7: Select an Appropriate Storage Account

• Understanding Storage Tiers
• Recommend a Storage Access Solution
• Recommend Storage Management Tools

Module 8: Design Data Integration

• Understanding Storage Tiers
• Recommend a Storage Access Solution
• Recommend Storage Management Tools

Module 9: Design a Solution for Logging and Monitoring

• Azure Monitoring Services
• Azure Monitor

Module 10: Design a Solution for Backup and Recovery

• Recommend a Recovery Solution for Hybrid and On-Premises Workloads
• Design and Azure Site Recovery Solution
• Recommend a Solution for Recovery in Different Regions
• Recommend a Solution for Azure Backup Management
• Design a Solution for Data Archiving and Retention

Module 11: Design for High Availability

• Recommend a Solution for Application, Autoscaling and Workload Redundancy
• Resources that Require High Availability
• Identify Storage Types for High Availability
• Recommend a Solution for Geo-Redundancy of Workloads

Module 12: Design for Cost Optimisation

• Recommend Solutions for Cost Management
• Recommended Viewpoints for Minimising Costs

Module 13: Design an Application Architecture

• Recommend a Microservices Architecture
• Recommend an Orchestration Solution for Deployment of Applications
• Recommend a Solution for API Integration

Lab: Implement Azure Logic Apps Integration with Azure Event Grid

• Integrate Azure Logic Apps with Event Grid
• Trigger execution of Logic Apps in response to an event representing a change to a resource within a

Module 14: Design Security for Applications

• Security for Applications and Services
• Recommend a Solution using Key Vault
• Recommend Solutions using Azure AD Managed Identities

Administering Microsoft Azure SQL Solutions DP300 Course Outline

Within this Microsoft Azure training course, you will learn the following modules:

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

Microsoft Azure Administrator MAZ104 Course Outline

Module 1: Configure Azure Active Directory

• Introduction
• Describe Azure Active Directory Benefits and Features
• Describe Azure Active Directory Concepts
• Compare Active Directory Domain Services to Azure Active Directory
• Select Azure Active Directory Editions
• Implement Azure Active Directory Join
• Implement Azure Active Directory Self-Service Password Reset

Module 2: Configure user and group accounts

• Introduction
• Create User Accounts
• Manage User Accounts
• Create Bulk User Accounts
• Create Group Accounts
• Create Administrative Units
• Interactive Lab Simulation

Module 3: Configure Subscriptions

• Introduction
• Identify Azure Regions
• Implement Azure Subscriptions
• Obtain an Azure Subscription
• Identify Azure Subscription Usage
• Implement Microsoft Cost Management
• Apply Resource Tagging
• Apply Cost Savings

Module 4: Configure Azure Policy

• Introduction
• Create Management Groups
• Implement Azure Policies
• Create Azure Policies
• Create Policy Definitions
• Create an Initiative Definition
• Scope the Initiative Definition
• Determine Compliance
• Interactive Lab Simulation

Module 5: Configure Role-Based Access Control

• Introduction
• Implement Role-Based Access Control
• Create a Role Definition
• Create a Role Assignment
• Compare Azure Roles to Azure Active Directory Roles
• Apply Role-Based Access Control
• Review Fundamental Azure RBAC Roles
• Interactive Lab Simulation

Module 6: Configure Azure Resources with Tools

• Introduction
• Use the Azure Portal
• Use Azure Cloud Shell
• Use Azure PowerShell
• Interactive Lab Simulation (Azure PowerShell)
• Use Azure CLI
• Interactive Lab Simulation (Azure CLI)

Module 7: Use Azure Resource Manager

• Introduction
• Review Azure Resource Manager Benefits
• Review Azure Resource Terminology
• Create Resource Groups
• Create Azure Resource Manager Locks
• Reorganize Azure Resources
• Remove Resources and Resource Groups
• Determine Resource Limits

Module 8: Configure Resources with Azure Resource Manager Templates

• Introduction
• Review Azure Resource Manager Template Advantages
• Explore the Azure Resource Manager Template Schema
• Explore the Azure Resource Manager Template Parameters
• Consider Bicep Templates
• Review QuickStart Templates
• Interactive Lab Simulation – Templates

Module 9: Configure Virtual Networks

• Introduction
• Plan Virtual Networks
• Create Subnets
• Create Virtual Networks
• Plan IP Addressing
• Create Public IP Addressing
• Associate Public IP Addresses
• Allocate or Assign Private IP Addresses
• Interactive lab Simulation

Module 10: Configure Network Security Groups

• Introduction
• Implement Network Security Groups
• Determine Network Security Group Rules
• Determine Network Security Group Effective Rules
• Create Network Security Group Rules
• Implement Application Security Groups
• Interactive Lab Simulation

Module 11: Configure Azure DNS

• Introduction
• Identify Domains and Custom Domains
• Verify Custom Domain Names
• Create Azure DNS Zones
• Delegate DNS Domains
• Add DNS Record Sets
• Plan for Azure Private DNS Zones
• Review Azure Private DNS Zone Scenarios
• Interactive Lab Simulation

Module 12: Configure Azure Virtual Network Peering

• Introduction
• Determine Azure Virtual Network Peering Uses
• Determine Gateway Transit and Connectivity
• Create Virtual Network Peering
• Extend Peering with User-Defined Routes and Service Chaining
• Interactive Lab Simulation

Module 13: Configure Network Routing and Endpoints

• Introduction
• Review System Routes
• Identify User-Defined Routes
• Determine Service Endpoint Uses
• Determine Service Endpoint Services
• Identify Private Link Uses
• Interactive Lab Simulation

Module 14: Configure Azure Load Balancer

• Introduction
• Determine Azure Load Balancer Uses
• Implement a Public Load Balancer
• Implement an Internal Load Balancer
• Determine Load Balancer Skus
• Create Back-End Pools
• Create Health Probes
• Create Load Balancer Rules
• Interactive Lab Simulation

Module 15: Configure Azure Application Gateway

• Introduction
• Implement Azure Application Gateway
• Determine Azure Application Gateway Routing
• Configure Azure Application Gateway Components

Module 16: Configure Storage Accounts

• Introduction
• Implement Azure Storage
• Explore Azure Storage Services
• Determine Storage Account Types
• Determine Replication Strategies
• Access Storage
• Secure Storage Endpoints

Module 17: Configure Azure Blob Storage

• Introduction
• Implement Azure Blob Storage
• Create Blob Containers
• Assign Blob Access Tiers
• Add Blob Lifecycle Management Rules
• Determine Blob Object Replication
• Upload Blobs

Module 18: Configure Azure Storage Security

• Introduction
• Review Azure Storage Security Strategies
• Create Shared Access Signatures
• Identify URI and SAS Parameters
• Determine Azure Storage Encryption
• Create Customer-Managed Keys
• Apply Azure Storage Security best practices
• Interactive Lab Simulation

Module 19: Configure Azure Files and Azure File Sync

• Introduction
• Compare Storage for File Shares and Blob Data
• Manage Azure Files Shares
• Create File Share Snapshots
• Implement Azure File Sync
• Identify Azure File Sync Components
• Deploy Azure File Sync

Module 20: Configure Azure Storage with Tools

• Introduction
• Use Azure Storage Explorer
• Use the Azure Import/Export Service
• Use the WAImportExport Tool
• Use the AzCopy Tool

Module 21: Configure Virtual Machines

• Introduction
• Review Cloud Services Responsibilities
• Plan virtual Machines
• Determine Virtual Machine Sizing
• Determine Virtual Machine Storage
• Create Virtual Machines in the Azure Portal
• Connect to Virtual Machines
• Interactive Lab Simulation

Module 22: Configure Virtual Machine Availability

• Introduction
• Plan for Maintenance and Downtime
• Create Availability Sets
• Review Update Domains and Fault Domains
• Review Availability Zones
• Compare Vertical and Horizontal Scaling
• Implement Azure Virtual Machine Scale Sets
• Create Virtual Machine Scale Sets
• Implement Autoscale
• Configure Autoscale
• Interactive Lab Simulation

Module 23: Configure Azure App Service plans

• Introduction
• Implement Azure App Service Plans
• Determine Azure App Service Plan Pricing
• Scale up and Scale out Azure App Service
• Configure Azure App Service Autoscale

Module 24: Configure Azure App Service

• Introduction
• Implement Azure App Service
• Create an App with App Service
• Explore Continuous Integration and Deployment
• Create Deployment Slots
• Add Deployment Slots
• Secure your App Service App
• Create Custom Domain Names
• Backup and Restore your App Service App
• Use Azure Application Insights
• Interactive Lab Simulation

Module 25: Configure Azure Container Instances

• Introduction
• Compare Containers to Virtual Machines
• Review Azure Container Instances
• Implement Container Groups
• Review the Docker Platform
• Interactive Lab Simulation

Module 26: Configure File and Folder Backups

• Introduction
• Describe Azure Backup Benefits
• Implement Backup Center for Azure Backup
• Configure Azure Recovery Services Vault Backup Options
• Use the Microsoft Azure Recovery Services (MARS) Agent
• Configure On-Premises File and Folder Backups
• Interactive Lab Simulation

Module 27: Configure virtual machine backups

• Introduction
• Explore Options to Protect Virtual Machine Data
• Create Virtual Machine Snapshots in Azure Backup
• Set Up Azure Recovery Services Vault Backup Options
• Back Up your Virtual Machines
• Restore your Virtual Machines
• Implement System Center DPM and Azure Backup Server
• Compare the MARS Agent and Azure Backup Server
• Implement Soft Delete for your Virtual Machines

Module 28: Introduction

• Describe Azure Monitor Key Capabilities
• Describe Azure Monitor Components
• Define Metrics and Logs
• Identify Monitoring Data and Tiers
• Describe Activity Log Events
• Query the Activity Log
• Interactive Lab Simulation

Module 29: Configure Azure Alerts

• Introduction
• Describe Azure Monitor Alerts
• Manage Azure Monitor Alerts
• Create Alert Rules
• Create Action Groups

Module 30: Configure Log Analytics

• Introduction
• Determine Log Analytics Uses
• Create a Log Analytics Workspace
• Create Kusto (KQL) Queries
• Structure Log Analytics Queries

Module 31: Configure Network Watcher

• Introduction
• Describe Azure Network Watcher Features
• Review IP Flow Verify Diagnostics
• Review Next Hop Diagnostics
• Visualize the Network Topology

Microsoft Azure Architect Technologies MAZ303 Course Outline

Notes: Microsoft have retied this course and exam. Microsoft have replaced this with Designing Microsoft Azure Infrastructure Solutions AZ305

Module 1: Implement Virtual Networking

• Virtual Network Peering
• Implement VNet Peering

Module 2: Implement VMs for Windows and Linux

• Select Virtual Machine Size
• Configure High Availability
• Implement Azure Dedicated Hosts
• Deploy and Configure Scale Sets
• Configure Azure Disk Encryption

Module 3: Automate Deployment and Configuration of Resources

• Azure Resource Manager Templates
• Save a Template for a VM
• Evaluate Location of New Resources
• Configure a Virtual Hard Disk Template
• Deploy from a Template
• Create and Execute an Automation Runbook

Module 4: Implement Load Balancing and Network Security

• Implementing  
  • Azure Load Balancer
  • An Application Gateway
  • Azure Firewall
  • Azure Front Door
  • Azure Traffic Manager
  • Network Security Groups and Application Security Groups
  • Azure Bastion
• Understand Web Application Firewall

Lab: Implementing Highly Available Azure IaaS Compute Architecture

• Describe Characteristics of Highly Available Azure VMs Residing in the Same Availability Set Behind
• Describe Characteristics of Highly Available Azure VMs Residing in Different Availability Zones Behind
• Describe Characteristics of Automatic Horizontal Scaling of Azure VM Scale Sets
• Describe Characteristics of Manual Vertical Scaling of Azure VM Scale Sets

Module 5: Implement Storage Accounts

• Storage Accounts
• Blob Storage
• Storage Security
• Managing Storage
• Accessing Blobs and Queues using AAD
• Configure Azure Storage Firewalls and Virtual Networks

Module 6: Implement Azure Active Directory

• Overview of Azure Active Directory
• Users and Groups
• Domains and Custom Domains
• Azure AD Identity Protection
• Implement Conditional Access
• Configure Fraud Alerts for MFA
• Implement Bypass Options
• Configure Trusted IPs
• Configure Guest Users in Azure AD
• Manage Multiple Directories

Module 7: Implement and Manage Azure Governance

• Create Management Groups, Subscriptions, and Resource Groups
• Overview of Role-Based Access Control (RBAC)
• Role-Based Access Control (RBAC) Roles
• Azure AD Access Reviews
• Implement and Configure an Azure Policy
• Azure Blueprints

Lab: Implementing and Configuring Azure Storage File and Blob Services

• Implement Authorisation of Azure Storage Blobs by Leveraging Shared Access Signatures
• Implement Authorisation of Azure Storage Blobs by Leveraging Azure Active Directory
• Implement Authorisation of Azure Storage File Shares by Leveraging Access Keys

Lab: Managing Azure Role-Based Access Control

• Define a Custom RBAC Role
• Assign a Custom RBAC Role

Module 8: Implement and Manage Hybrid Identities

• Install and Configure Azure AD Connect
• Configure Password Sync and Password Writeback
• Configure Azure AD Connect Health

Module 9: Manage Workloads in Azure

• Migrate Workloads using Azure Migrate
• VMware - Agentless Migration
• VMware - Agent-Based Migration
• Implement Azure Backup
• Azure to Azure Site Recovery
• Implement Azure Update Management

Lab: Protecting Hyper-V VMs by using Azure Site Recovery

• Configure Azure Site Recovery
• Perform Test Failover
• Perform Planned Failover
• Perform Unplanned Failover

Module 10: Implement Cloud Infrastructure Monitoring

• Azure Infrastructure Security Monitoring
• Azure Monitor
• Azure Workbooks
• Azure Alerts
• Log Analytics
• Network Watcher
• Azure Service Health
• Monitor Azure Costs
• Azure Application Insights
• Unified Monitoring in Azure

Module 11: Manage Security for Applications

• Azure Key Vault
• Azure Managed Identity

Module 12: Implement an Application Infrastructure

• Create and Configure Azure App Service
• Create an App Service Web App for Containers
• Create and Configure an App Service Plan
• Configure Networking for an App Service
• Create and Manage Deployment Slots
• Implement Logic Apps
• Implement Azure Functions

Lab: Configuring a Message-Based Integration Architecture

• Configure and Validate an Azure Function App Storage Blob Trigger
• Configure and Validate an Azure Event Grid Subscription-Based Queue Messaging

Lab: Implementing an Azure App Service Web App with a Staging Slot

• Implement Blue/Green Deployment Pattern by using Deployment Slots of Azure App Service Web Apps
• Perform A/B Testing by using Deployment Slots of Azure App Service Web Apps

Module 13: Implement Container-Based Applications

• Azure Container Instances
• Configure Azure Kubernetes Service

Module 14: Implement NoSQL Databases

• Configure Storage Account Tables
• Select Appropriate CosmosDB APIs

Module 15: Implement Azure SQL Databases

• Configure Azure SQL Database Settings
• Implement Azure SQL Database Managed Instances
• High-Availability and Azure SQL Database

Microsoft Azure Data Fundamentals DP900 Course Outline

Within his Microsoft training course, you will learn the following modules:

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 IoT Developer AZ220 Course Outline

Within this Microsoft training course, you will learn the following modules:

Module 1: Introduction to IoT and Azure IoT Services

In this module, students will begin by examining the business considerations for various IoT implementations and reviewing how the Azure IoT Reference Architecture supports IoT solutions. This module also provides students with an overview of the Azure services commonly used in an IoT solution and introduces the Azure portal.

Lessons

• Introduction to IoT Solution Architecture
• IoT Hardware and Cloud Services
• Lab Scenarios for this Course

Lab: Getting Started with Azure

Lab: Setting Started with Azure IoT Services

After completing this module, students will be able to:

• Explain how IoT and Azure IoT could be applied to their business
• Describe the core components of an Azure IoT Solution Architecture
• Describe the Azure IoT Services and how they relate to an IoT solution
• Create an Azure account and use the Azure portal to create an IoT Hub and DPS service

Module 2: Devices and Device Communication

In this module, students will take a closer look at the Azure IoT Hub service and will learn how to configure secure two-way communication between IoT hub and devices. Students will also be introduced to IoT Hub features such as Device Twins and IoT Hub Endpoints that will be explored in more depth as the course continues.

Lessons

• IoT Hub Concepts
• IoT Device Lifecycle Concepts
• IoT Developer Tools
• Device Configuration and Communication

Lab: Connect IoT Device to Azure

Lab: Setup the Development Environment

After completing this module, students will be able to:

• Explain the core features of the IoT Hub services
• Describe the lifecycle of an Azure IoT device
• Describe how IoT Hub manages device identities and implements other security features
• Register devices with the IoT Hub using the Azure portal, Azure CLI, and Visual Studio Code
• Implement the IoT Hub Device and Service SDKs

Module 3: Device Provisioning at Scale

In this module, students will focus on device provisioning and how to configure and manage the Azure Device Provisioning Service. Students will learn about the enrollment process, auto provisioning and re-provisioning, disenrollment, and how to implement various attestation mechanisms.

Lessons

• Device Provisioning Service Terms and Concepts
• Configure and Manage the Device Provisioning Service
• Device Provisioning Tasks

Lab: Individual Enrollment of Devices in DPS

Lab: Automatic Enrollment of Devices in DPS

After completing this module, students will be able to:

• Explain the process of device provisioning and the features of the Device Provisioning Service
• Explain the security considerations associated with device provisioning and how they are managed
• Implement the Device Provisioning Service SDKs
• Manage the device enrollment process, including deprovisioning and disenrollment

Module 4: Message Processing and Analytics

In this module, students will examine how IoT Hub and other Azure services can be used to process messages. Students will begin with an investigation of how to configure message and event routing and how to implement routing to built-in and custom endpoints. Students will learn about some of the Azure storage options that are common for IoT solutions. To round out his module, students will implement Azure Stream Analytics and queries for a number of ASA patterns.

Lessons

• Messages and Message Processing
• Additional Considerations for IoT Hub Messaging
• Data Storage and the Lambda Architecture
• Azure Functions and Stream Analytics

Lab: Device Message Routing

After completing this module, students will be able to:

• Configure message and event routing
• Route data to the built-in and custom endpoints
• Implement message enrichment
• Implement Azure Stream Analytics Inputs, Queries, and Outputs
• Store message data in a warm storage for historical purposes and additional analysis
• Use an Azure Function within a message processing and analytics solution

Module 5: Insights and Business Integration

In this module, students will learn about the Azure services and other Microsoft tools that can be used to generate business insights and enable business integration. Students will implement Azure Logic Apps and Event Grid, and they will configure the connection and data transformations for data visualization tools such as Time Series Insights and Power BI.

Lessons

• Business Integration for IoT Solutions
• Data Visualization with Time Series Insights
• Data Visualization with Power BI

Lab: Integrate IoT Hub with Event Grid

Lab: Explore and Analyze Time Stamped Data with Time Series Insights

After completing this module, students will be able to:

• Explain the options for business integration within an IoT solution and how to achieve them
• Develop business integration support using Logic Apps and Event Grid
• Configure IoT Data for Visualization in Time Series Insights
• Describe Data Visualization with Power BI

Module 6: Azure IoT Edge Deployment Process

In this module, students will learn how to deploy a module to an Azure IoT Edge device. Students will also learn how to configure and use an IoT Edge device as a gateway device.

Lessons

• Introduction to Azure IoT Edge
• Edge Deployment Process
• Edge Gateway Devices

Lab: Implement an IoT Edge gateway

Lab: Introduction to IoT Edge Deployments

After completing this module, students will be able to:

• Describe the difference between an IoT device and an IoT Edge device
• Configure an IoT Edge device
• Implement an IoT Edge deployment using a deployment manifest
• Configure an IoT Edge device as a gateway device

Module 7: Azure IoT Edge Modules and Containers

In this module, students will develop and deploy custom edge modules, and will implement support for an offline scenario that relies on local storage. Students will use Visual Studio Code to build custom modules as containers using a supported container engine.

Lessons

• Develop Custom Edge Modules
• Offline and Local Storage

Lab: Create and Deploy a Custom Edge Module

Lab: Implement Restricted Network and Offline Scenarios for IoT Edge

After completing this module, students will be able to:

• Explain the requirements for building a custom edge module
• Configure Visual Studio Code for developing containerized modules
• Deploy a custom module to an IoT Edge device
• Implement local storage on an IoT Edge device in support of an offline scenario

Module 8: Device Management

In this module, students will learn how to implement device management for their IoT solution. Students will develop device management solutions that use devoice twins and solutions that use direct methods.

Lessons

• Introduction to IoT Device Management
• Manage IoT and IoT Edge Devices
• Device Management at Scale

Lab: Implement Automatic Device Management

Lab: Manage Devices using Device Twins and Direct Methods

After completing this module, students will be able to:

• Describe the most common device management patterns and configuration best practices
• Describe when and how to use device twins and direct methods to implement device management
• Implement device management for various patterns using device twins and direct methods
• Implement device management at scale using automatic device management and jobs

Module 9: Solution Testing, Diagnostics, and Logging

In this module, students will configure logging and diagnostic tools that help developers to test their IoT solution. Students will use IoT Hub and Azure Monitor to configure alerts and track conditions such as device connection state that can be used to troubleshoot issues.

Lessons

• Monitoring and Logging
• Troubleshooting

Lab: Configure IoT Hub Monitoring

After completing this module, students will be able to:

• Describe the options for monitoring and logging an Azure IoT solution
• Configure Azure Monitor to support of an IoT solution
• Configure IoT Hub Metrics to support of an IoT solution
• Implement diagnostics logging
• Troubleshoot IoT device connection and communication issues

Module 10: Microsoft Defender for IoT and IoT Security Considerations

In this module, students will examine the security considerations that apply to an IoT solution. Students will begin by investigating security as it applies to the solution architecture and best practices, and then look at how Microsoft Defender for IoT supports device deployment and IoT Hub integration. Students then use Microsoft Defender for IoT Agents to enhance the security of their solution.

Lessons

• Security Fundamentals for IoT Solutions
• Introduction to Microsoft Defender for IoT
• Enhance Protection with Microsoft Defender for IoT Agents

Lab: Implementing Microsoft Defender for IoT

After completing this module, students will be able to:

• Describe security concerns and best practices for an IoT solution
• Describe the Azure IoT Security Architecture and Threat Modeling
• Describe the features and support provided by Microsoft Defender for IoT
• Configure Security Agents and Security Module Twins
• Aggregate Microsoft Defender for IoT Events

Module 11: Develop with Azure Digital Twins

In this module, students will examine the concepts of an Azure Digital Twins solution and take their first steps toward implementing Azure Digital Twins. Students will begin by investigating the concepts behind the Azure Digital Twins service and an Azure Digital Twins solution, followed by an introduction to the development tools that can be used to build and monitor an Azure Digital Twins solution. Students will then use the development tools to create custom models, build and query an Azure Digital Twins environment graph, ingest IoT device telemetry, and implement business logic and data processing.

Lessons

• Introduction to Azure Digital Twins
• Introduction to ADT solution development
• Monitor and troubleshoot ADT

Lab: Develop Azure Digital Twins solutions

After completing this module, students will be able to:

• Describe the components of an Azure Digital Twins solution
• Explain how to create and configure an Azure Digital Twins instance
• Explain how to create, query, and manage the Azure Digital Twins graph
• Explain how to ingest Azure Digital data from IoT hub and implement support for downstream services
• Describe how to monitor and troubleshoot Azure Digital Twins

Module 12: Build an IoT Solution with IoT Central

In this module, students will learn how configure and implement Azure IoT Central as a SaaS solution for IoT. Students will begin with a high-level investigation of IoT Central and how it works. With a basic understanding of IoT central establish, students will move on to creating and managing device templates, and then managing devices in their IoT Central application.

Lessons

• Introduction to IoT Central
• Create and Manage Device Templates
• Manage Devices in Azure IoT Central
• Business Integration and Data Analysis

After completing this module, students will be able to:

• Describe the difference between Azure IoT Central and the Azure IoT PaaS services
• Describe the features provided by Azure IoT Central
• Describe the purpose and components of a Device Template
• Create and publish a Device Template
• Manage devices using rules and notifications
• Mange devices at scale using jobs

Data Engineering on Microsoft Azure DP203 Course Outline

Within this Microsoft training course, you will learn the following modules:

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