Azure DevOps (AZ-400)

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Course Overview

Designing and Implementing Microsoft DevOps Solutions (AZ-400)

Candidates for this exam are developers or infrastructure administrators who also have subject matter expertise in working with people, processes, and products to enable continuous delivery of value in organizations.

DevOps engineers must have experience with administering and developing in Azure, with strong skills in at least one of these areas. They should be familiar with both Azure DevOps and GitHub.

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Prerequisites

  • Certifications (one of the below)
    1. Microsoft Certified: Azure Administrator Associate
    2. Microsoft Certified: Azure Developer Associate
  • Candidates must be proficient with Agile practices. They must be familiar with both Azure Administration and Azure Development and experts in at least one of these areas. Azure DevOps professionals must be able to design and implement DevOps practices for version control, compliance, infrastructure as code, configuration management, build, release, and testing by using Azure technologies.

Course Outline

  • Module 1 : Planning for DevOps
    • Transformation Planning
    • Project Selection
    • Team Structures
    • Migrating to Azure DevOps
  • Module 2 : Getting started with Source Control
    • What is Source Control
    • Benefits of Source Control
    • Types of Source Control Systems
    • Introduction to Azure Repos
    • Introduction to GitHub
    • Migrating from Team Foundation Version Control (TFVC) to Git in Azure Repos
    • Authenticating to Git in Azure Repos
  • Module 3 : Scaling Git for enterprise DevOps
    • How to Structure your Git Repo
    • Git Branching Workflows
    • Cullaborating with Pull Requests in Azure Repos
    • Why care about GitHooks
    • Fostering Inner Source
  • Module 4 : Consolidating Artifacts & Designing a Dependency Management Strategy
    • Packaging Dependencies
    • Package Management
    • Migrating and Consolidating Artifacts
  • Module 5 : Implementing Continuous Integration with Azure Pipelines
    • The concept of pipelines in DevOps
    • Azure Pipelines
    • Evaluate use of Hosted vs Private Agents
    • Agent Pools
    • Pipelines and Concurrency
    • Azure DevOps and Open-Source Projects (Public Projects)
    • Azure Pipelines YAML vs Visual Designer
    • Continuous Integration Overview
    • Implementing a Build Strategy
    • Integration with Azure Pipelines
    • Integrate External Source Control with Azure Pipelines
    • Set Up Private Agents
    • Analyze and Integrate Docker Multi-Stage Builds
  • Module 6 : Managing Application Config and Secrets
    • Introduction to Security
    • Implement secure and compliant development process
    • Rethinking application config data
    • Manage secrets, tokens, and certificates
    • Implement tools for managing security and compliance in a pipeline
  • Module 7 : Managing Code Quality and Security Policies
    • Managing Code Quality
    • Managing Security Policies
  • Module 8 : Implementing a Container Build Strategy
    • Implementing a Container Build Strategy
  • Module 9 : Manage Artifact versioning, security & compliance
    • Package security
    • Open-source software
    • Integrating license and vulnerability scans
    • Implement a versioning strategy (git version)
  • Module 10 : Design a Release Strategy
    • Introduction to Continuous Delivery
    • Release strategy recommendations
    • Building a High-Quality Release pipeline
    • Choosing a deployment pattern
    • Choosing the right release management tool

  • Module 11 : Set up a Release Management Workflow
    • Create a Release Pipeline
    • Provision and Configure Environments
    • Manage and Modularize Tasks and Templates
    • Integrate Secrets with the release pipeline
    • Configure Automated Integration and Functional Test Automation
    • Automate Inspection of Health
  • Module 12 : Implement an appropriate deployment pattern
    • Introduction to Deployment Patterns
    • Implement Blue Green Deployment
    • Feature Toggles
    • Canary Releases
    • Dark Launching
    • AB Testing
    • Progressive Exposure Deployment
  • Module 13 : Implement process for routing system feedback to development teams
    • Implement Tools to Track System Usage, Feature Usage, and Flow
    • Implement Routing for Mobile Application Crash Report Data
    • Develop Monitoring and Status Dashboards
    • Integrate and Configure Ticketing Systems
  • Module 14 : Implement a mobile DevOps strategy
    • Introduction to Mobile DevOps
    • Introduction to Visual Studio App Center
    • Manage mobile target device sets and distribution groups
    • Manage target UI test device sets
    • Provision tester devices for deployment
    • Create public and private distribution groups
  • Module 15 : Infrastructure and Configuration Azure Tools
    • Infrastructure as Code and Configuration Management
    • Create Azure Resources using ARM Templates
    • Create Azure Resources using Azure CLI
    • Create Azure Resources by using Azure PowerShell
    • Desired State Configuration (DSC)
    • Azure Automation with DevOps
    • Additional Automation Tools
  • Module 16 : Azure Deployment Models and Services
    • Deployment Modules and Options
    • Azure Infrastructure-as-a-Service (IaaS) Services
    • Azure Platform-as-a-Service (PaaS) services
    • Serverless and HPC Computer Services
    • Azure Service Fabric
  • Module 17 : Create and Manage Kubernetes Service Infrastructure
    • Azure Kubernetes Service
  • Module 18 Third Party Infrastructure as Code Tools available with Azure
    • Chef
    • Puppet
    • Ansible
    • Terraform
  • Module 19 : Implement Compliance and Security in your Infrastructure
    • Security and Compliance Principles with DevOps
    • Azure security Center
  • Module 20 : Recommend and design system feedback mechanisms
    • The inner loop
    • Continuous Experimentation mindset
    • Design practices to measure end-user satisfaction
    • Design processes to capture and analyze user feedback
    • Design process to automate application analytics
  • Module 21 : Optimize feedback mechanisms
    • Site Reliability Engineering
    • Analyze telemetry to establish a baseline
    • Perform ongoing tuning to reduce meaningless or non-actionable alerts
    • Analyze alerts to establish a baseline
    • Blameless Retrospectives and a Just Culture