Azure AZ-400 Complete Guide 2026: Master DevOps Engineer Expert Exam

What is Azure AZ-400?

The Microsoft Azure DevOps Engineer Expert (AZ-400) certification validates your expertise in designing and implementing DevOps practices for version control, compliance, infrastructure as code, configuration management, build, release, and testing using Azure technologies. For official exam details, visit the official Microsoft Learn page.

AZ-400 is an expert-level certification that requires you to first pass either AZ-104 (AZ Administrator) or AZ-204 (AZ Developer) as a prerequisite. This ensures candidates have solid AZ fundamentals before tackling advanced DevOps concepts.

Exam Format & Details

Question Types

The AZ-400 exam includes several question formats:

• Multiple Choice: Select ONE correct answer
• Multiple Response: Select ALL that apply
• Drag and Drop: Arrange steps or components in correct order
• Case Studies: Scenario-based questions with multiple parts
• Hot Area: Select correct elements in a diagram or code
• YAML/Code Completion: Complete pipeline definitions or scripts

Exam Domains Breakdown

The AZ-400 exam covers five main domains. Understanding these helps you prioritize your study time effectively.

Key Services to Master

AZ DevOps Services

• AZ Boards: Work item tracking, sprints, backlogs, Kanban boards
• AZ Repos: Git repositories, branch policies, pull requests
• AZ Pipelines: CI/CD, YAML pipelines, classic pipelines, agents
• AZ Artifacts: Package management (NuGet, npm, Maven, Python)
• AZ Test Plans: Manual and exploratory testing, test cases

AZ Pipelines Deep Dive

# Multi-stage YAML Pipeline Example
trigger:
  branches:
    include:
      - main
      - develop

pool:
  vmImage: 'ubuntu-latest'

stages:
- stage: Build
  jobs:
  - job: BuildJob
    steps:
    - task: DotNetCoreCLI@2
      inputs:
        command: 'build'
        projects: '**/*.csproj'
    - task: DotNetCoreCLI@2
      inputs:
        command: 'test'
        projects: '**/*Tests.csproj'
    - task: PublishBuildArtifacts@1
      inputs:
        pathToPublish: '$(Build.ArtifactStagingDirectory)'
        artifactName: 'drop'

- stage: Deploy_Dev
  dependsOn: Build
  condition: succeeded()
  jobs:
  - deployment: DeployToDev
    environment: 'Development'
    strategy:
      runOnce:
        deploy:
          steps:
          - task: AZWebApp@1
            inputs:
              azureSubscription: 'AZ-Connection'
              appName: 'myapp-dev'

GitHub Actions

# GitHub Actions Workflow Example
name: CI/CD Pipeline

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v4
    - name: Setup .NET
      uses: actions/setup-dotnet@v4
      with:
        dotnet-version: '8.0.x'
    - name: Build
      run: dotnet build --configuration Release
    - name: Test
      run: dotnet test --no-build
    - name: Publish
      run: dotnet publish -c Release -o ./publish

  deploy:
    needs: build
    runs-on: ubuntu-latest
    if: github.ref == 'refs/heads/main'
    steps:
    - name: Deploy to AZ
      uses: azure/webapps-deploy@v2
      with:
        app-name: 'myapp'
        publish-profile: ${{ secrets.AZURE_PUBLISH_PROFILE }}
        package: ./publish

Infrastructure as Code (IaC)

• ARM Templates: AZ-native JSON templates for resource deployment
• Bicep: Domain-specific language for ARM template authoring
• Terraform: Multi-cloud IaC tool with AZ provider
• AZ CLI/PowerShell: Scripting for automation tasks

Terraform Example

# Terraform AZ Resource Example
provider "azurerm" {
  features {}
}

resource "azurerm_resource_group" "example" {
  name     = "rg-devops-prod"
  location = "East US"
}

resource "azurerm_app_service_plan" "example" {
  name                = "asp-devops-prod"
  location            = azurerm_resource_group.example.location
  resource_group_name = azurerm_resource_group.example.name
  sku {
    tier = "Standard"
    size = "S1"
  }
}

resource "azurerm_app_service" "example" {
  name                = "app-devops-prod"
  location            = azurerm_resource_group.example.location
  resource_group_name = azurerm_resource_group.example.name
  app_service_plan_id = azurerm_app_service_plan.example.id
}

ARM Template Example

{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "parameters": {
    "webAppName": {
      "type": "string",
      "metadata": {
        "description": "Name of the web app"
      }
    }
  },
  "resources": [
    {
      "type": "Microsoft.Web/sites",
      "apiVersion": "2022-03-01",
      "name": "[parameters('webAppName')]",
      "location": "[resourceGroup().location]",
      "properties": {
        "serverFarmId": "[resourceId('Microsoft.Web/serverfarms', 'myAppServicePlan')]"
      }
    }
  ]
}

AZ Repos & Git Strategies

• Branch Policies: Required reviewers, build validation, linked work items
• GitFlow: Feature branches, develop, release, hotfix branches
• Trunk-Based: Short-lived branches, frequent integration to main
• Pull Requests: Code review workflows, automatic checks

Recommended Study Strategy

A structured 10-12 week study plan will help you cover all domains effectively.

Phase 1: Foundations (Weeks 1-3)

• Review DevOps principles and culture (collaboration, automation, CI/CD)
• Complete Microsoft Learn modules on AZ DevOps fundamentals
• Set up AZ DevOps organization and explore all services
• Understand Git fundamentals and branching strategies
• Practice questions: 100-150 on DevOps concepts and source control

Phase 2: Core Skills (Weeks 4-8)

• Deep dive into AZ Pipelines YAML syntax and multi-stage pipelines
• Learn GitHub Actions workflow syntax and reusable workflows
• Study Infrastructure as Code with ARM templates, Bicep, and Terraform
• Implement security scanning (SAST, DAST, dependency scanning)
• Configure AZ Key Vault integration in pipelines
• Hands-on: Build complete CI/CD pipelines for real applications
• Practice questions: 200-300 on pipelines and IaC

Phase 3: Advanced Topics & Review (Weeks 9-12)

• Study deployment strategies (blue-green, canary, rolling, A/B testing)
• Learn AZ Monitor, Application Insights, and logging strategies
• Understand release gates, approvals, and compliance
• Review container security and AZ Container Registry
• Take full-length practice exams and analyze weak areas
• Target: Score 85%+ consistently before scheduling your exam

Hands-On Practice Tips

AZ-400 requires significant hands-on experience. Here are practical exercises to build your skills:

Build CI/CD Pipelines

• AZ Pipelines: Create multi-stage YAML pipelines with build, test, and deploy stages
• GitHub Actions: Build workflows with matrix strategies and reusable workflows
• Deployment Strategies: Implement blue-green deployment with deployment slots
• Self-Hosted Agents: Configure and manage agent pools

Implement Infrastructure as Code

• ARM/Bicep: Deploy AZ resources using templates in pipelines
• Terraform: Create reusable modules, manage state files remotely
• Configuration Management: Use AZ App Configuration for feature flags
• Secrets Management: Integrate AZ Key Vault with pipelines

Security and Compliance

• Security Scanning: Add SonarQube or Microsoft Security DevOps to pipelines
• Dependency Scanning: Configure Dependabot or WhiteSource Bolt
• Container Security: Scan container images with Trivy or Aqua
• Compliance: Implement AZ Policy and governance gates

Monitoring and Observability

• Application Insights: Instrument applications for telemetry
• AZ Monitor: Create alerts, dashboards, and workbooks
• Log Analytics: Write KQL queries to analyze logs
• Release Annotations: Add deployment markers to Application Insights

Exam Day Tips

• Know YAML Syntax: AZ Pipelines and GitHub Actions YAML formats are heavily tested
• Understand Deployment Strategies: Know when to use blue-green vs canary vs rolling
• Branch Policies: Memorize options for build validation, required reviewers, linked work items
• Service Connections: Understand how to securely connect to AZ resources
• Variable Groups: Know how to manage secrets and variables across pipelines
• Time Management: Case studies can be lengthy - manage your time wisely
• Flag Questions: Mark uncertain questions and return if time permits
• Read Carefully: Pay attention to "LEAST" or "MOST" in questions

Frequently Asked Questions

What prerequisites are required for AZ-400?

You must pass either AZ-104 (AZ Administrator) or AZ-204 (AZ Developer) before taking AZ-400. Both paths lead to the DevOps Engineer Expert certification when combined with AZ-400.

Should I take AZ-104 or AZ-204 first?

It depends on your background. If you're primarily a developer working with code and applications, start with AZ-204. If you're focused on infrastructure, networking, and resource management, start with AZ-104. Both paths are equally valid for DevOps.

Is AZ-400 harder than AZ-104 or AZ-204?

AZ-400 is generally considered more challenging due to its broader scope covering both development and operations practices. It requires understanding of CI/CD, source control, security, monitoring, and infrastructure as code - combining skills from both AZ-104 and AZ-204.

How long should I study for AZ-400?

Most candidates need 10-12 weeks of dedicated study, assuming you already have the prerequisite certification. If you have production DevOps experience, you might need less time. Those new to DevOps practices should plan for additional preparation.

Do I need AZ DevOps or can I use GitHub?

The exam covers both AZ DevOps Services and GitHub. You should be familiar with AZ Pipelines (YAML and Classic), GitHub Actions, AZ Repos, and GitHub repositories. Microsoft has been increasing GitHub content in recent exam updates.

How is AZ-400 different from AWS DevOps Professional?

Both validate DevOps expertise for their respective clouds. AZ-400 focuses on AZ DevOps Services, AZ Pipelines, and AZ-specific IaC (ARM/Bicep). AWS DOP-C02 covers CodePipeline, CodeBuild, CodeDeploy, and CloudFormation. Core DevOps concepts are similar, but tooling differs significantly.

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