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J7F-01263 Azure Architect, Technologies

The course consists of six courses that you can attend separately:

Audience profile

This course is intended for Azure Solution Architects who advise stakeholders and translate business requirements into secure, scalable, and reliable solutions.

The secondary audience for this course includes IT professionals who take this course as preparation material for Azure exam AZ-300: Microsoft Azure Architect Technologies.


Before attending this course, students must have:

  • Experience on operating systems, virtualization, cloud infrastructure, storage structures, billing, and networking
After completing this course, students will be able to:
  • Managing Azure Subscriptions and Resources
  • Implementing and Managing Storage
  • Deploying and Managing VMs
  • Configuring and Managing Virtual Networks
  • Managing Identities using Azure Active Directory
  • Evaluating and Performing Server Migration to Azure
  • Implementing and Managing Application Services
  • Implementing Advanced Virtual Networking
  • Securing Identities using Azure AD
  • Design and Connectivity Patterns
  • Hybrid Networking
  • Address Durability of Data and Caching
  • Measure Throughput and Structure of Data Access
  • Use shell commands to create an App Service Web App
  • Create Background Tasks
  • Use Swagger to document an API
  • Create a reliable service
  • Create a Reliable Actors app
  • Hands-on with Reliable collections
  • Understand the Azure Container Registry
  • Use Azure Container instances
  • Understand how to Implement authentication using certificates, Azure AD, Azure AD Connect, and tokens
  • Implement Role-aBsed Access Control (RBAC) authorization
  • Implement secure data for end-to-end encryption
  • Implement secure data for implementing SSL and TLS communications
  • Use Azure Key Vault to manage cryptographic keys
  • How to configure a message-based integration architecture
  • Understand how to Develop for Asynchronous Processing
  • Begin creating apps for Autoscaling
  • Understand Azure Cognitive Services Solutions

Course Outline

Module 1: Managing Azure Subscriptions and Resources
  • Monitoring using Azure alerts
  • Monitoring using Azure activity logs
  • Monitoring using Log Analytics
Module 2: Implementing and Managing Storage
  • Azure storage accounts
  • Data replication
  • Using Azure Storage Explorer
  • Storage monitoring
Module 3: Deploying and Managing Virtual Machines (VMs)
  • Creating Virtual Machines (VM)s within the Azure Portal
  • Creating Virtual Machines (VM)s using Azure PowerShell
  • Creating Virtual Machines (VM)s using ARM templates
  • Deploying Linux Virtual Machines (VM)s
  • Monitoring of Virtual Machines (VM)s
  • Data protection using backups, whether by snapshot, Azure Backup, or Azure Site Recovery
Module 4: Configuring and Managing Virtual Networks
  • Network routing using routing tables and algorithms
  • Inter-site connectivity using VNet-to-VNet connections and VPNs
  • Virtual network peering for regional and global considerations
  • Gateway transit
Module 5: Managing Identities
  • Role-Based Access Control (RBAC)
  • Built-in roles
  • Self-Service Password Reset (SSPR)
  • Authentication methods for password reset
Module 6: Evaluating and Performing Server Migration to Azure
  • Components of the Azure migration process
  • Overview of Azure Site Recovery (ASR)
Module 7: Implementing and Managing Application Services
  • Deploying and managing Web Apps
  • App Service Security
  • Serverless Computing Concepts
  • Managing Event Grid
  • Managing Service Bus
  • Managing Logic App
Module 8: Implementing Advanced Virtual Networking
  • Azure Load Balancer
  • Azure Application Gateway
  • Site-to-Site VPN Connections
Module 9: Securing Identities
  • Azure AD Identity Protection
  • Azure Domains and Tenants
  • Azure Users and Groups
  • Azure Roles
Module 10: Selecting Compute and Storage Solutions
  • Azure Architecture Center
  • Cloud design patterns
  • Competing consumers pattern
  • Cache-aside pattern
Module 11: Hybrid Networking
  • Site-to-site connectivity
  • Point-to-site connectivity
  • Combining site-to-site and point-to-site connectivity
  • Virtual network–to–virtual network connectivity
Module 12: Measuring Throughput and Structure of Data Access
  • DTUs – Azure SQL Database
  • RUs – Azure Cosmos DB
  • Structured and unstructured data
  • Using structured data stores
Module 13: Creating Web Applications using PaaS
  • Using shell commands to create an App Service Web App
  • Creating Background Tasks
  • Using Swagger to document an API
Module 14: Creating Apps and Services Running on Service Fabric
  • Creating a reliable service
  • Creating a Reliable Actors app
  • Working with Reliable collections
Module 15: Using Azure Kubernetes Service
  • Deploying and managing a Kubernetes cluster in Azure
  • Understanding the Azure Container Registry
  • Using Azure Container instances
Module 16: Implementing Authentication Topics for this module include:
  • Authentication in applications (certificates, Azure AD, Azure AD Connect, token-based)
  • Multi-factor authentication
  • Claims-based authorization
  • Role-based access control (RBAC) authorization
Module 17: Implementing Secure Data
  • End-to-end encryption
  • Azure confidential computing
  • Implementing SSL and TLS communications
  • Managing cryptographic keys in Azure Key Vault
Module 18: Developing Long-Running Tasks and Distributed Transactions
  • Implementing large-scale, parallel, and high-performance apps using batches
  • HPC using Microsoft Azure Virtual Machines
  • Implementing resilient apps by using queues
  • Implementing code to address application events by using webhooks
Module 19: Configuring a Message-Based Integration Architecture
  • Configuring an app or service to send emails
  • Configuring an event publish and subscribe model
  • Configuring Azure Relay service
  • Configuring apps and services with Microsoft Graph
Module 20: Developing for Asynchronous Processing
  • Parallelism, multithreading, and processing
  • Azure Functions and Azure Logic Apps
  • Interfaces for storage or data access
  • Implementing appropriate asynchronous computing models
Module 21: Developing for Autoscaling
  • Autoscaling rules and patterns
  • Implementing code that addresses singleton application instances
  • Implementing code that addresses a transient state
Module 22: Developing Azure Cognitive Services Solutions
  • Developing Solutions using Computer Vision
  • Developing solutions using Bing Web Search
  • Developing solutions using Custom Speech Service
  • Developing solutions using QnA Maker
Course length
4,5 days (36 hours)

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