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AZ-400
AZ-400 Microsoft Azure

DevOps Engineer

The AZ-400 certification course teaches Azure DevOps Engineers how to configure processes, implement source control, build release pipelines, enforce security, and instrument monitoring, enabling end‑to‑end DevOps solutions on Azure.

120
Minutes
50
Questions
700/1000
Passing Score
$165
Exam Cost
7
Languages

Who Should Take This

It is intended for professionals who already hold the Azure Developer Associate or Azure Administrator Associate credential and have at least three years of hands‑on DevOps experience. These individuals, such as cloud engineers, release managers, or senior developers, aim to validate and expand their expertise in designing and operating comprehensive Azure DevOps pipelines.

What's Covered

1 Configuring activity traceability, collaboration tools, Azure Boards, and integrating work tracking with development workflows.
2 Designing branching strategies, configuring repositories, integrating source control with Azure DevOps and GitHub, and managing code quality.
3 Designing CI/CD pipelines using Azure Pipelines and GitHub Actions, implementing infrastructure as code, managing artifacts, and configuring deployment strategies.
4 Implementing secure development practices, managing secrets and credentials, configuring pipeline security, and implementing compliance scanning.
5 Configuring monitoring with Azure Monitor, Application Insights, and log analytics; implementing feedback loops and site reliability practices.

Exam Structure

Question Types

  • Multiple Choice
  • Multiple Response
  • Case Studies
  • Labs

Scoring Method

Scaled score 100-1000, passing score 700

Delivery Method

Proctored exam, 40-60 questions, 100 minutes

Prerequisites

AZ-104 or AZ-204 required (must hold one of these certifications)

Recertification

Renew annually via free Microsoft Learn renewal assessment

What's Included in AccelaStudy® AI

Adaptive Knowledge Graph
Practice Questions
Lesson Modules
Console Simulator Labs
Exam Tips & Strategy
20 Activity Formats

Course Outline

71 learning goals
1 Domain 1: Configure Processes and Communications
2 topics

Configure activity traceability and flow of work

  • Implement Azure Boards work item tracking with custom process templates, work item types, states, and fields to establish traceability from requirements through deployment across team projects.
  • Configure Kanban boards with swimlanes, column limits, card styles, and cumulative flow diagrams to visualize and optimize work-in-progress across development and operations teams.
  • Implement dashboards and reporting widgets in Azure DevOps to provide real-time visibility into sprint velocity, cycle time, lead time, and deployment frequency metrics for stakeholder communication.
  • Analyze work item query results and cumulative flow data to identify process bottlenecks, unbalanced workloads, and flow inefficiencies that impede delivery velocity across DevOps teams.
  • Recommend process template customizations and workflow optimizations that align Azure Boards configuration with organizational DevOps maturity goals and value stream mapping outcomes.

Configure collaboration and communication

  • Implement Azure DevOps wiki pages with Mermaid diagrams, cross-project linking, and version history to create living documentation that supports team knowledge sharing and onboarding.
  • Configure service hooks and notification subscriptions in Azure DevOps to integrate pipeline events, work item changes, and code review actions with Microsoft Teams, Slack, and external webhook endpoints.
  • Evaluate integration patterns between Azure DevOps and GitHub including repository mirroring, cross-platform work item linking, and unified reporting to determine the optimal collaboration topology for hybrid organizations.
  • Devise enterprise communication strategies that integrate Azure DevOps notifications, service hooks, and collaboration tools to ensure cross-team visibility into release progress and incident response coordination.
2 Domain 2: Design and Implement Source Control
2 topics

Design and implement branching strategies

  • Implement trunk-based development workflows with short-lived feature branches, branch policies, and pull request validation builds in Azure Repos to enable continuous integration practices.
  • Configure release branching and GitFlow strategies with branch protection rules, automated merge validation, and release tagging to support parallel release streams and hotfix workflows.
  • Evaluate branching strategy tradeoffs between trunk-based development, GitFlow, and release branching models based on team size, release cadence, compliance requirements, and deployment target constraints.
  • Architect enterprise branching governance frameworks that standardize branch naming conventions, merge policies, and release flow patterns across multiple teams while accommodating varied deployment cadences.

Configure and manage repositories

  • Configure Azure Repos and GitHub repository settings including permissions, default branch policies, required reviewers, and automated status checks to enforce code quality standards before merge.
  • Implement Git Large File Storage and repository size management strategies including shallow clones, sparse checkout, and repository segmentation to optimize clone performance for large codebases.
  • Evaluate Git hook configurations and pull request template designs to determine the optimal pre-commit validation, commit message enforcement, and work item linking strategy that balances developer productivity with code quality governance.
  • Analyze repository structure and monorepo versus multi-repo tradeoffs to determine the optimal source control organization for microservice architectures, shared libraries, and cross-team code ownership models.
  • Design enterprise source control governance strategies that integrate repository permissions, branch protection hierarchies, code ownership policies, and inner-source contribution models across organizational boundaries.
3 Domain 3: Design and Implement Build and Release Pipelines
6 topics

Design and implement pipeline automation

  • Implement Azure Pipelines YAML configurations with multi-stage definitions, job dependencies, task groups, and conditional execution logic to automate build, test, and deployment workflows.
  • Evaluate pipeline trigger configurations including CI triggers, scheduled triggers, pipeline resource triggers, and pull request validation triggers to determine optimal trigger patterns based on build frequency, resource utilization, and feedback latency requirements.
  • Implement YAML pipeline templates with parameterized stages, extends templates, and template expressions to create reusable pipeline components that enforce organizational standards across multiple teams.
  • Evaluate classic release pipeline versus YAML multi-stage pipeline tradeoffs to determine the optimal pipeline architecture based on approval workflow complexity, environment targeting, and pipeline-as-code requirements.
  • Analyze pipeline execution performance by evaluating stage duration, agent utilization, task caching effectiveness, and parallelism opportunities to identify optimization targets for build and release throughput.
  • Architect enterprise pipeline governance frameworks that standardize YAML templates, enforce required stages, mandate security scanning gates, and implement pipeline-as-code review processes across organizational project collections.

Design and implement a package management strategy

  • Implement Azure Artifacts feeds for NuGet, npm, Maven, and Python packages with upstream source configurations, feed views, and retention policies for centralized package management.
  • Evaluate semantic versioning workflow configurations in Azure Artifacts including feed view promotion strategies, pre-release tagging conventions, and pipeline integration patterns to determine optimal package lifecycle management for multi-team environments.
  • Evaluate package management architecture options including Azure Artifacts, GitHub Packages, and Azure Container Registry to determine the optimal artifact storage strategy based on package types, access patterns, and organizational structure.
  • Design enterprise package governance strategies that integrate upstream source curation, vulnerability scanning, license compliance, and version deprecation policies to maintain software supply chain integrity across teams.

Design and implement pipelines for infrastructure as code

  • Implement ARM template and Bicep deployments integrated into Azure Pipelines with parameter files, what-if previews, and deployment modes for declarative Azure resource provisioning.
  • Implement Terraform configurations integrated with Azure Pipelines using remote state in Azure Storage, plan and apply stages, and approval gates for infrastructure lifecycle management across environments.
  • Evaluate IaC tool tradeoffs between ARM templates, Bicep, and Terraform based on state management complexity, module ecosystem maturity, multi-cloud requirements, and team skill alignment for Azure infrastructure delivery.
  • Analyze IaC pipeline design for drift detection, idempotency validation, and environment promotion reliability to identify structural weaknesses in infrastructure deployment workflows.
  • Design enterprise IaC governance frameworks that integrate module registries, policy-as-code validation with Azure Policy, drift remediation automation, and environment consistency enforcement across platform teams.

Design and implement a deployment strategy

  • Implement blue-green deployment patterns using Azure App Service deployment slots with slot swapping, traffic routing rules, and auto-swap configurations for zero-downtime production releases.
  • Implement canary and rolling deployment strategies using Azure Kubernetes Service with progressive traffic shifting, health probe validation, and automated rollback triggers for risk-controlled releases.
  • Evaluate deployment approval gate configurations including environment checks, manual intervention tasks, and automated validation conditions to determine the optimal release governance model balancing deployment velocity against risk control requirements.
  • Implement feature flag management using Azure App Configuration or LaunchDarkly integration to enable progressive exposure, ring-based rollout, and targeted feature activation without redeployment.
  • Evaluate deployment strategy tradeoffs across blue-green, canary, rolling, and feature flag approaches based on rollback speed, infrastructure cost, blast radius, and compliance requirements for different workload types.
  • Determine optimal deployment group and environment configurations in Azure Pipelines for on-premises, hybrid, and multi-cloud deployment targets based on agent connectivity, security boundaries, and resource constraints.
  • Formulate enterprise deployment governance strategies that standardize release cadences, approval hierarchies, deployment ring definitions, and rollback procedures across multiple product teams and environments.

Implement testing strategy in pipelines

  • Implement unit test and integration test execution within Azure Pipelines using test task configurations, test result publishing, and code coverage collection for automated quality feedback in CI workflows.
  • Evaluate automated UI testing and load testing integration patterns in Azure Pipelines using Selenium, Playwright, and Azure Load Testing to determine optimal test configuration for validating functional correctness and performance baselines before production release.
  • Analyze test result trends, code coverage metrics, and flaky test patterns to assess testing strategy effectiveness and identify gaps in test coverage that increase deployment risk.
  • Design enterprise testing strategies that integrate shift-left testing practices, test environment provisioning automation, quality gate enforcement, and test data management to accelerate feedback loops while maintaining release confidence.

Design and implement security and compliance in pipelines

  • Implement service connections in Azure Pipelines with workload identity federation, managed identity, and service principal authentication for secure access to Azure resources during pipeline execution.
  • Configure variable groups and pipeline secrets using Azure Key Vault integration, secret variables, and variable group linking to centralize sensitive configuration management across pipeline definitions.
  • Configure agent pool security with self-hosted agent isolation, pipeline permissions, resource authorization, and organization-level security policies to control pipeline execution boundaries and resource access.
  • Evaluate pipeline security posture by analyzing service connection scoping, secret exposure risks, agent pool trust boundaries, and YAML template injection vulnerabilities to identify compliance gaps in pipeline configurations.
  • Architect enterprise pipeline security frameworks that enforce required templates, mandatory security scanning stages, service connection governance, and audit logging to achieve compliance with organizational security policies and regulatory requirements.
4 Domain 4: Develop a Security and Compliance Plan
2 topics

Design and implement a strategy for managing sensitive information

  • Implement Azure Key Vault for storing and managing certificates, secrets, and keys with access policies, RBAC, and network isolation for centralized credential lifecycle management in DevOps workflows.
  • Configure Azure Key Vault integration with Azure Pipelines using variable groups, task-based secret retrieval, and managed identity authentication to securely inject secrets into build and release workflows.
  • Analyze secret management practices to evaluate rotation compliance, access pattern anomalies, and credential sprawl across pipeline definitions and deployment configurations to identify security posture weaknesses.
  • Design enterprise secret governance strategies that integrate Azure Key Vault, automated rotation schedules, access auditing, and least-privilege policies to enforce credential lifecycle management across DevOps teams and deployment pipelines.

Automate security and compliance scanning

  • Implement SonarQube or SonarCloud integration in Azure Pipelines for static application security testing with quality gate enforcement, code smell detection, and technical debt tracking on pull requests and CI builds.
  • Configure GitHub Advanced Security features including code scanning, secret scanning, Dependabot alerts, and dependency review to automate vulnerability detection and remediation workflows in source repositories.
  • Implement container image scanning and dependency vulnerability analysis in build pipelines using tools such as Trivy, Snyk, or Microsoft Defender for Containers to enforce image security before deployment.
  • Evaluate SAST, DAST, and SCA scanning tool effectiveness by comparing detection accuracy, false positive rates, remediation guidance quality, and pipeline integration overhead to determine optimal scanning configurations.
  • Assess compliance scanning results against regulatory frameworks and organizational security baselines to determine remediation priority and risk acceptance decisions for identified vulnerabilities in release candidates.
  • Architect enterprise security scanning programs that integrate SAST, DAST, SCA, and container scanning into unified DevSecOps pipelines with centralized vulnerability dashboards, SLA-driven remediation workflows, and compliance reporting automation.
5 Domain 5: Implement an Instrumentation Strategy
2 topics

Configure monitoring for DevOps

  • Implement Application Insights instrumentation for web applications with telemetry collection, custom events, dependency tracking, and distributed tracing to establish comprehensive application performance monitoring.
  • Configure Azure Monitor dashboards with log queries, metric visualizations, workbook templates, and cross-resource views to create unified operational visibility across application and infrastructure layers.
  • Implement Log Analytics workspace configurations with data collection rules, custom log ingestion, and Kusto Query Language queries to aggregate and analyze operational data from Azure resources and custom application telemetry.
  • Analyze application telemetry data using Application Insights analytics to identify performance degradation patterns, failure rate anomalies, and dependency bottlenecks that impact user experience and service reliability.
  • Evaluate monitoring architecture tradeoffs including workspace topology, data retention policies, cross-subscription scoping, and cost optimization to determine the optimal Log Analytics deployment model for enterprise environments.
  • Design enterprise observability strategies that integrate Application Insights, Log Analytics, Azure Monitor metrics, and distributed tracing into unified monitoring platforms with automated incident correlation and proactive anomaly detection.

Configure alerting

  • Implement Azure Monitor alert rules with metric conditions, log search conditions, and activity log conditions including dynamic thresholds and multi-resource targeting for proactive incident detection.
  • Configure action groups with notification channels, webhook integrations, Azure Functions triggers, and ITSM connectors to route alerts to appropriate response teams and automate remediation workflows.
  • Implement Application Insights smart detection and availability tests with URL ping tests, multi-step web tests, and custom test configurations to monitor application health and detect anomalies automatically.
  • Analyze alerting effectiveness by evaluating alert noise ratios, mean time to detection, false positive rates, and alert fatigue indicators to identify tuning opportunities that improve incident response quality.
  • Troubleshoot monitoring and alerting configuration issues by correlating alert firing patterns, action group delivery logs, and workspace query performance to diagnose gaps between expected and actual notification behavior.
  • Plan enterprise alerting architectures that integrate severity-based routing, escalation policies, on-call rotation management, and automated remediation runbooks to minimize mean time to recovery across distributed Azure workloads.

Hands-On Labs

25 labs ~442 min total Console Simulator

Practice in a simulated cloud console or Python code sandbox — no account needed. Each lab runs entirely in your browser.

Certification Benefits

Salary Impact

$152,000
Average Salary

Related Job Roles

DevOps Engineer Platform Engineer Release Manager Site Reliability Engineer Build Engineer

Industry Recognition

Microsoft Azure certifications are among the most valued in enterprise IT, with Microsoft holding the second-largest cloud market share globally and serving as the dominant platform in enterprise and hybrid cloud environments.

Scope

Included Topics

  • All domains and task statements in the Microsoft Azure DevOps Engineer Expert (AZ-400) exam guide: Domain 1 Configure processes and communications (10-15%), Domain 2 Design and implement source control (15-20%), Domain 3 Design and implement build and release pipelines (40-45%), Domain 4 Develop a security and compliance plan (10-15%), Domain 5 Implement an instrumentation strategy (10-15%).
  • Expert-level DevOps engineering decisions for Azure DevOps and GitHub-based delivery platforms including work item tracking and process configuration, branching strategy design, YAML and classic pipeline architecture, package management with Azure Artifacts, infrastructure as code pipeline integration with ARM/Bicep/Terraform, deployment strategy selection, testing strategy implementation, pipeline security and compliance, sensitive information management, security scanning automation, monitoring and alerting configuration using Azure Monitor and Application Insights.
  • Complex scenario-based tradeoff analysis involving pipeline optimization, deployment risk mitigation, security-first pipeline design, compliance automation, release governance, and operational monitoring strategy across Azure DevOps and GitHub ecosystems.
  • Key Azure and DevOps services for DevOps engineers: Azure DevOps (Boards, Repos, Pipelines, Artifacts, Test Plans), GitHub (repositories, Actions, Advanced Security, Packages), Azure Pipelines (YAML, classic, templates, stages, jobs, tasks, triggers, approvals, gates), Azure Artifacts (NuGet, npm, Maven, Python, Universal Packages, upstream sources), Azure Key Vault, Azure Monitor, Application Insights, Log Analytics, Azure Container Registry, Azure Kubernetes Service, Azure App Service, Azure Functions, ARM templates, Bicep, Terraform, SonarQube, SonarCloud, WhiteSource/Mend, OWASP ZAP, Selenium, Azure Load Testing.

Not Covered

  • Deep application development content covered by the Azure Developer Associate (AZ-204) certification including SDK usage patterns, Cosmos DB data modeling, and Azure Functions trigger implementation details.
  • Azure infrastructure administration topics covered by the Azure Administrator (AZ-104) certification including virtual network design, Azure AD tenant management, and subscription governance beyond DevOps pipeline context.
  • Provider-agnostic CI/CD theory and software engineering research not connected to practical Azure DevOps and GitHub platform capabilities tested in the AZ-400 exam.
  • Exact short-lived pricing terms and transient promotional details not suitable for durable technical domain specifications.
  • Azure networking fundamentals and advanced network architecture topics not directly related to pipeline connectivity and deployment target configuration.

Official Exam Page

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