Microsoft Azure Architect Technologies (AZ-300)

Students in this Microsoft Azure Architect Technologies training course will learn to deploy and configure infrastructure, implement workloads and security, understand Cloud architect technology solutions, create and deploy apps, implement authentication and secure data, and develop for the Cloud.

This 5-day Microsoft Azure Architect Technologies course prepares students for the Microsoft Azure Architect Technologies exam (Exam AZ-300).

Goals
  1. Learn to manage Azure Subscriptions and Resources.
  2. Learn to implement and manage Storage.
  3. Learn to deploy and manage VMs.
  4. Learn to configuring and manage virtual networks.
  5. Learn to manage identities using Azure Active Director.
  6. Learn to evaluate and perform server migration to Azure.
  7. Learn to implement and manage Application Services.
  8. Learn to implement Advanced Virtual Networking.
  9. Learn to secure Identities using Azure AD.
  10. Learn about design and connectivity patterns.
  11. Learn about hybrid networking.
  12. Learn to address durability of data and caching.
  13. Learn to measure throughput and structure of data access.
  14. Learn to use shell commands to create an App Service Web App.
  15. Learn to create Background Tasks.
  16. Learn to use Swagger to document an API.
  17. Learn to create a reliable service.
  18. Learn to create a Reliable Actors app.
  19. Learn to get hands-on with Reliable collections.
  20. Understand the Azure Container Registry.
  21. Learn to use Azure Container instances.
  22. Understand how to implement authentication using certificates, Azure AD, Azure AD Connect, and tokens.
  23. Learn to implement Role-aBsed Access Control (RBAC) authorization.
  24. Learn to implement secure data for end-to-end encryption.
  25. Learn to implement secure data for implementing SSL and TLS communications.
  26. Learn to use Azure Key Vault to manage cryptographic keys.
  27. Learn to configure a message-based integration architecture.
  28. Understand how to Develop for Asynchronous Processing.
  29. Learn to begin creating apps for Autoscaling.
  30. Understand Azure Cognitive Services Solutions.
Outline
  1. Managing Azure Subscriptions and Resources
    1. Exploring Azure monitoring capabilities using Azure alerts, Azure activity logs, and Log Analytics
    2. Querying, analyzing, and interpreting the data viewed in Log Analytics
  2. Implementing and Managing Storage
    1. Azure storage accounts
    2. Data replication
    3. Azure Storage Explore
    4. Monitoring storage
  3. Deploying and Managing Virtual Machines (VMs)
    1. Creating Virtual Machines (VM)s within the Azure Portal
    2. Creating Virtual Machines (VM)s using Azure PowerShell
    3. Creating Virtual Machines (VM)s using ARM templates
    4. Deploying Linux Virtual Machines (VM)s
    5. Monitoring Virtual Machines (VM)s
  4. Configuring and Managing Virtual Networks
    1. Network routing using routing tables and algorithms
    2. Inter-site connectivity using VNet-to-VNet connections and VPNs
    3. Virtual network peering for regional and global considerations
    4. Gateway transit
  5. Managing Identities
    1. Role-Based Access Control (RBAC)
    2. Built-in roles
    3. Self-Service Password Reset (SSPR)
    4. Authentication methods for password reset
  6. Evaluating and Performing Server Migration to Azure
    1. Using components of the Azure migration process
    2. Creating a project
    3. Creating a collector
    4. Assessing readiness
    5. Estimating costs
  7. Implementing and Managing Application Services
    1. Deploying Web Apps
    2. Managing Web Apps
    3. App Service Security
    4. Serverless Computing Concepts
    5. Managing Event Grid
    6. Managing Service Bus
    7. Managing Logic App
  8. Implementing Advanced Virtual Networking
    1. Azure Load Balancer
    2. Azure Application Gateway
    3. Site-to-Site VPN Connections
    4. ExpressRoute: An Overview
  9. Securing Identities
    1. Azure AD Identity Protection
    2. Azure Domains and Tenants
    3. Azure Users and Groups
    4. Azure Roles
    5. Overview of Azure AD integration options
  10. Selecting Compute and Storage Solutions
    1. Azure Architecture Center
    2. Cloud design patterns
    3. Competing consumers pattern
    4. Cache-aside pattern
  11. Hybrid Networking
    1. Site-to-site connectivity
    2. Point-to-site connectivity
    3. Combining site-to-site and point-to-site connectivity
    4. Virtual network–to–virtual network connectivity
  12. Measuring Throughput and Structure of Data Access
    1. DTUs – Azure SQL Database
    2. RUs – Azure Cosmos DB
    3. Structured and unstructured data
    4. Using structured data stores
  13. Creating Web Applications using PaaS
    1. Using shell commands to create an App Service Web App
    2. Creating Background Tasks
    3. Using Swagger to document an API
  14. Creating Apps and Services Running on Service Fabric
    1. Creating a reliable service
    2. Creating a Reliable Actors app
    3. Working with Reliable collections
  15. Using Azure Kubernetes Service
    1. Azure Container Registry
    2. Azure Container Instances
  16. Implementing Authentication Topics for this module include:Lessons
    1. Implementing authentication in applications (certificates, Azure AD, Azure AD Connect, token-based)
    2. Implementing multi-factor authentication
    3. Claims-based authorization
    4. Role-based access control (RBAC) authorization
  17. Implementing Secure DataLessons
    1. End-to-end encryption
    2. Implementing Azure confidential computing
    3. Implementing SSL and TLS communications
    4. Managing cryptographic keys in Azure Key Vault
  18. Developing Long-Running Tasks and Distributed Transactions
    1. Configure an app or service to send emails
    2. Configure an event publish and subscribe model
    3. Configure the Azure Relay service
    4. Configure apps and services with Microsoft Graph
  19. Developing for Asynchronous ProcessingLessons
    1. Implement parallelism, multithreading, and processing
    2. Implement Azure Functions and Azure Logic Apps
    3. Implement interfaces for storage or data access
    4. Implement appropriate asynchronous computing models
    5. Implement autoscaling rules and patterns
  20. Developing for AutoscalingLessons
    1. Implementing autoscaling rules and patterns
    2. Implementing code that addresses singleton application instances
    3. Implementing code that addresses a transient state
  21. Developing Azure Cognitive Services SolutionsLessons
    1. Developing Solutions using Computer Vision
    2. Developing solutions using Bing Web Search
    3. Developing solutions using Custom Speech Service
    4. Developing solutions using QnA Maker
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Azure class:

  • Practical experience with operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking.
Preparing for Class

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Length: 5 Days
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