Prasenjit Sarkar
By Prasenjit SarkarLast verified: 2026-09-06
Microsoft AzureDevOpsEXPERT

Microsoft DevOps Engineer Expert Certification: Complete Guide 2026

AZ-400

The Microsoft DevOps Engineer Expert certification validates advanced skills in designing and implementing DevOps practices on Azure. Centered on exam AZ-400, this expert-level credential is built for IT professionals such as DevOps Engineers, Release Managers, and Platform Engineers who need to improve collaboration, automation, CI/CD, security, and monitoring across modern delivery pipelines. The Microsoft DevOps Engineer Expert overview includes key areas like build and release pipelines (40%), source control (15%), process and communication design (10%), security and compliance (10%), and instrumentation strategy (10%). With 40-60 questions in 120 minutes and a passing score of 700/1000, AZ-400 is a high-value certification for teams adopting Azure DevOps and GitHub at scale.

Exam Details

Exam CodeAZ-400
Duration120 min
Questions40-60
Passing Score700/1000
Exam Cost$165
Validity1 year
Avg. Salary$145,000/yr

Free Exam Dumps

AZ-400 practice questions

306 free questions with verified answers and an explanation for every option. A sample from each bank is below; every question has its own page.

AZ-400 exam dumps (306 questions)

All AZ-400 questions

AZ-400 Question 1

Select 2

Your organization has recently adopted Azure DevOps for managing backlog items in Azure Boards and version control in Azure Repos. They want to ensure that every code commit is automatically associated with a relevant user story, so they can track the feature� progress from planning through to release. They also want to measure lead time and cycle time for each feature. Which two actions should you recommend to achieve end-to-end traceability between work items and code commits?

  1. A

    Instruct developers to include the work item ID in commit messages using the 'AB#' syntax to automatically link commits to user stories.

  2. B

    Enable branch policies to require a linked work item in each pull request before it can be merged.

  3. C

    Use multiple Git repositories, one per user story, so each repository can be directly tied to a specific backlog item.

  4. D

    Disable the Build Validation policy on pull requests to simplify linking between commits and user stories.

Show answer and explanation

Correct answers: A, B

Explanation

To design and implement end-to-end traceability in Azure DevOps, each code change should be tied to the corresponding backlog item. By instructing developers to reference work items in commit messages using 'AB#' and enforcing branch policies that require a linked work item before merging, teams can maintain a clear flow of work. These practices align with Microsoft� guidance on linking work items to commits (see Microsoft Documentation: https://learn.microsoft.com/azure/devops/boards/work-items/link-work-items-from-commits).

  • A. Correct.

    Option 1 is correct. Including the work item ID in the commit message (e.g., 'AB#42') is the recommended approach to automatically link Azure Boards work items to commits in Azure Repos. This ensures you can trace changes from the user story to the actual code and gather metrics such as lead time and cycle time.

  • B. Correct.

    Option 2 is correct. Enabling branch policies for pull requests that require referencing a work item helps enforce best practices and ensures that no code changes are merged without associating them to a specific user story. This enforces traceability.

  • C. Incorrect.

    Option 3 is incorrect. Creating a separate Git repository for each user story would fragment the codebase and complicate overall flow. It does not inherently improve traceability or metrics gathering; instead, it introduces additional overhead in repository maintenance.

  • D. Incorrect.

    Option 4 is incorrect. Disabling Build Validation does nothing to enhance traceability. Build Validation policies help ensure code quality and can be configured to enforce further requirements, but disabling them removes an important check without improving work-item linking.

AZ-400 Question 2

Single answer

Your organization is implementing a new feature in Azure DevOps and wants to ensure each code change is linked to the appropriate work items for complete traceability. The team decides to enforce references to work items in commit messages or pull request descriptions before merging changes. Which action should you implement to achieve this requirement?

  1. A

    Configure a branch policy in Azure Repos that requires linked work items in pull requests before allowing merges.

  2. B

    Enable the 'Enforce Commit Message Policy' in the Azure DevOps Project Settings under Boards > Process.

  3. C

    Create an Azure DevOps Pipeline task that automatically appends work item IDs to commit messages.

  4. D

    Use a Git hook on each developer's machine to insert work item references before the local commit is completed.

Show answer and explanation

Correct answer: A

Explanation

Designing and implementing traceability in Azure DevOps often involves enforcing references to work items in commits or pull requests. By configuring a branch policy within Azure Repos, you can ensure that changes referencing relevant tasks or user stories are merged only when they meet the traceability requirement. This approach aligns with best practices outlined in Microsoft Docs for maintaining end-to-end traceability (see https://docs.microsoft.com/azure/devops/repos/git/branch-policies for details).

  • A. Correct.

    Correct. Configuring a branch policy in Azure Repos to enforce linked work items in PRs ensures that changes cannot be merged unless they reference the correct work items. This is the recommended approach since it centralizes the enforcement and provides an end-to-end traceability mechanism.

  • B. Incorrect.

    Incorrect. There is no native 'Enforce Commit Message Policy' under Boards > Process in Azure DevOps. Process configurations do not provide commit message validation. This distractor could be believed if someone wrongly assumed boards process settings apply to commit messages.

  • C. Incorrect.

    Incorrect. An Azure DevOps Pipeline task can be used to detect commit messages or annotate work items, but it does not strictly enforce that developers include the references in their local commits or PRs prior to entering the pipeline. It� not a reliable method of preventing merges without work item references.

  • D. Incorrect.

    Incorrect. While Git hooks can enforce policies locally, they can be bypassed or incorrectly configured on each developer� machine. They are not a centralized or recommended approach for enterprise-level enforcement. Branch policies are more effective and consistent in Azure DevOps.

AZ-400 Question 3

Select 2

You are designing a solution in Azure DevOps for a cross-functional team. The team frequently commits and merges changes without linking them to the relevant work items, causing confusion about which user stories or bugs have been addressed. You want to enforce traceability so that every pull request references at least one relevant Azure Boards work item, and to streamline the flow of work from backlog item creation through deployment. Which two actions should you take to accomplish this goal?

  1. A

    Enable the 'Require a linked work item' branch policy in Azure Repos to prevent merges when no work items are linked.

  2. B

    Configure the build validation policy so that the branch cannot be merged unless the build is successful.

  3. C

    Use the '#' mention in commit messages or pull request titles to automatically link commits to their respective work items.

  4. D

    Apply a manual code review policy requiring at least two reviewers to check code quality and best practices.

  5. E

    Disable the auto-complete feature on pull requests to force developers to finalize merges manually.

Show answer and explanation

Correct answers: A, C

Explanation

To maintain traceability in Azure DevOps, you can enforce policies that require all code changes be associated with the relevant work items. The 'Require a linked work item' branch policy prevents merges lacking a linked work item, and using the '#' mention in commit messages or pull request titles ensures automatic linking. These measures address the root cause (unassociated work items) and establish an end-to-end flow of work. For more details, see the Microsoft documentation on branch policies (https://docs.microsoft.com/azure/devops/repos/git/branch-policies).

  • A. Correct.

    Option 1 is correct. Enabling the 'Require a linked work item' policy in Azure Repos ensures that a pull request cannot be merged unless at least one work item is linked, thereby enforcing traceability and preventing unassociated changes.

  • B. Incorrect.

    Option 2 is incorrect. While a build validation policy helps maintain code quality by ensuring builds pass before merging, it does not require or enforce linking changes to work items, so it does not solve the traceability issue.

  • C. Correct.

    Option 3 is correct. Using the '#' mention in commits or pull requests automatically creates links to the appropriate work items in Azure Boards. This approach streamlines traceability without requiring manual linking each time.

  • D. Incorrect.

    Option 4 is incorrect. A manual code review policy can improve the quality of the code, but it does not specifically enforce linking changes to work items. It addresses best practices in code review, not traceability.

  • E. Incorrect.

    Option 5 is incorrect. Disabling the auto-complete feature may slow down merges and encourage manual oversight, but it does not inherently enforce linking to a work item. There is no mechanism in this setting that ties code changes to work items.

Exam Content

Exam Domains & Topics

Master these 5 domains to pass your exam

1

Configure Processes and Communications

10%
2

Design and Implement Source Control

15%
3

Design and Implement Build and Release Pipelines

40%
4

Develop a Security and Compliance Plan

10%
5

Implement an Instrumentation Strategy

10%

Who Should Take This Exam?

  • IT professionals seeking Microsoft Azure expertise
  • DevOps practitioners
  • Cloud architects and engineers
  • DevOps and infrastructure specialists
  • Technical leads and solution architects
  • Career changers entering cloud computing

Study Timeline

8-12 weeks

Recommended duration

01

Foundation · Weeks 1-2

Review exam objectives & core concepts

02

Deep Dive · Weeks 3-6

Study each domain with hands-on labs

03

Practice & Review · Weeks 7-8

Take practice exams & target weak areas

View Full Study Plan

Study Guide

AZ-400 Study Plan

The Microsoft Certified: DevOps Engineer Expert certification validates your ability to combine people, processes, and technologies to continuously deliver valuable products and services that meet end user needs and business objectives. This expert-level certification demonstrates proficiency in designing and implementing DevOps practices for version control, compliance, infrastructure as code, configuration management, build, release, and testing using Azure technologies.

  1. Week 1-2

    Foundation and Environment Setup

    Establish foundational knowledge and set up practice environment

    • Review Azure fundamentals and prerequisite knowledge
    • Create Azure DevOps organization and projects
    • Set up Azure subscription for hands-on practice
    • Complete Configure Processes and Communications domain
    • Familiarize yourself with Azure Boards, work items, and dashboards
  2. Week 3-4

    Source Control Mastery

    Deep dive into version control strategies and implementation

    • Master Git fundamentals and advanced operations
    • Implement various branching strategies in practice repositories
    • Configure branch policies and pull request workflows
    • Practice repository management and integration scenarios
    • Complete Source Control domain objectives
  3. Week 5-7

    Build and Release Pipelines - Part 1

    Master pipeline creation and basic deployment scenarios

    • Create Classic and YAML pipelines for various project types
    • Configure pipeline agents and understand agent pools
    • Implement basic CI/CD workflows
    • Work with pipeline variables and variable groups
    • Configure service connections to Azure and external services
    • Practice artifact management and package feeds
  4. Week 8-9

    Build and Release Pipelines - Part 2

    Advanced pipeline patterns and deployment strategies

    • Implement multi-stage pipelines with environments
    • Configure deployment gates and approval workflows
    • Practice container-based builds and deployments
    • Implement IaC with ARM templates, Bicep, and Terraform
    • Master deployment patterns (blue-green, canary, rolling updates)
    • Integrate automated testing in pipelines
  5. Week 10

    Security and Compliance

    Implement security best practices in DevOps workflows

    • Configure Azure Key Vault integration with pipelines
    • Implement security scanning and dependency analysis
    • Practice secure authentication methods and RBAC
    • Configure compliance validation and policies
    • Implement static code analysis tools
    • Complete Security and Compliance domain
  6. Week 11

    Instrumentation and Monitoring

    Master application and infrastructure monitoring

    • Configure Application Insights for various application types
    • Master Azure Monitor and log analytics
    • Practice KQL queries for log analysis
    • Configure alerts, dashboards, and availability tests
    • Implement continuous monitoring in release pipelines
    • Complete Instrumentation Strategy domain
  7. Week 12

    Review and Practice Exams

    Comprehensive review and exam preparation

    • Take multiple practice exams and identify weak areas
    • Review all exam domains with focus on low-scoring areas
    • Complete hands-on labs for reinforcement
    • Review official documentation for exam topics
    • Practice time management with timed mock exams
    • Review common exam scenarios and case studies

Study tips

Hands-On Practice is Critical

  • Create an Azure DevOps organization and multiple projects to practice different scenarios
  • Build at least 10-15 complete pipelines covering different technologies (web apps, containers, IaC)
  • Practice YAML pipeline syntax extensively - the exam heavily tests YAML knowledge
  • Set up complete CI/CD workflows from source control to production deployment
  • Experiment with different branching strategies and understand the tradeoffs of each

Master the YAML Pipeline Syntax

  • Understand pipeline structure: stages, jobs, steps, and their relationships
  • Learn conditional execution, dependencies, and variable usage in YAML
  • Practice creating reusable pipeline templates and parameter passing
  • Memorize key YAML keywords: trigger, pr, stages, jobs, deployment, environment, strategy
  • Understand the difference between jobs and deployment jobs

Focus on the 40% Domain

  • Build and Release Pipelines is 40% of the exam - allocate your study time accordingly
  • Practice creating pipelines for different Azure services (App Service, AKS, Functions, VMs)
  • Understand deployment strategies deeply: blue-green, canary, rolling, traffic splitting
  • Master multi-stage pipelines with environments, approvals, and gates
  • Know how to troubleshoot common pipeline failures

Understand the 'Why' Not Just the 'How'

  • The exam tests decision-making - understand when to use each approach, not just how to implement it
  • Know the pros and cons of different branching strategies and when to recommend each
  • Understand when to use Classic vs YAML pipelines (though Microsoft recommends YAML)
  • Be prepared to choose the most efficient or secure solution from multiple valid options
  • Study scenario-based questions and practice reasoning through architecture decisions

Security and Secrets Management

  • Practice integrating Azure Key Vault with pipelines in multiple ways
  • Understand the difference between secret variables, variable groups, and Key Vault references
  • Know how to secure service connections and pipeline permissions
  • Learn about managed identities and when to use them vs service principals
  • Practice implementing security scanning tools like SonarQube and dependency checkers

Monitoring and KQL Queries

  • Practice writing KQL (Kusto Query Language) queries for Application Insights and Log Analytics
  • Understand how to create custom metrics and telemetry
  • Know how to configure availability tests and alerts
  • Practice integrating monitoring data into release gates for automated decisions
  • Understand distributed tracing and how to implement it

Exam-Specific Strategies

  • Read questions carefully - look for keywords like 'most secure', 'least effort', 'lowest cost'
  • Case studies appear at the beginning - you can review them throughout the exam
  • Mark questions for review if unsure - you can return to them before submitting
  • Watch for questions about features in preview vs GA - exam tests GA features
  • Understand Azure DevOps vs GitHub Actions - know when each is appropriate
  • Practice time management - roughly 2 minutes per question, but case studies take longer

Infrastructure as Code

  • Practice with ARM templates, Bicep, and Terraform - know the basics of all three
  • Understand how to deploy IaC in pipelines and manage state files
  • Know the differences between declarative (ARM, Bicep) and imperative approaches
  • Practice creating modular, reusable infrastructure templates
  • Understand idempotency and how it applies to infrastructure deployments

Agent Pools and Scaling

  • Understand the difference between Microsoft-hosted and self-hosted agents
  • Know when to use scale set agents for Azure VM-based scaling
  • Understand agent capabilities and demands for job targeting
  • Learn about parallel jobs and concurrency limits
  • Practice configuring agents on different operating systems (Windows, Linux, macOS)

Exam day checklist

  • Arrive 15 minutes early for online exams to complete system checks and check-in process
  • Have a valid government-issued ID ready for verification
  • Test your equipment (webcam, microphone, internet connection) at least 24 hours before the exam
  • Clear your desk of all materials - only water in a clear container is typically allowed
  • Read the case studies thoroughly at the beginning - take notes if allowed
  • Flag questions you're unsure about and review them at the end if time permits
  • Don't spend more than 3 minutes on any single question initially - move on and come back
  • For multiple-choice questions, eliminate obviously wrong answers first
  • Look for absolute words like 'always', 'never', 'all' - these are often incorrect
  • Trust your preparation - your first instinct is often correct
  • Manage your time - aim to complete the first pass with 20-30 minutes remaining for review
  • Remember that Microsoft exams often test the 'best' solution, not just 'a' solution
  • Pay attention to the specific Azure service mentioned in questions - details matter

Career

Career Opportunities

Roles and salary potential for Microsoft DevOps Engineer Expert certified professionals

Related Job Titles

DevOps EngineerRelease ManagerPlatform Engineer

$145,000

Average Annual Salary

Prerequisites

There are no strict formal prerequisites for the Microsoft DevOps Engineer Expert certification. However, Microsoft Azure recommends having foundational knowledge of devops concepts and some hands-on experience before attempting the exam. Candidates who invest time in study materials and practice exams typically perform best.

FAQ

Microsoft DevOps Engineer Expert FAQs

Common questions about the AZ-400 certification exam

The Microsoft DevOps Engineer Expert is a professional certification offered by Microsoft Azure that validates your expertise in the relevant technology domain. The exam code is AZ-400. This certification demonstrates your ability to design, implement, and manage solutions using Microsoft Azure technologies.

The Microsoft DevOps Engineer Expert exam typically contains 40-60 questions. These questions are a mix of multiple-choice and scenario-based questions designed to test both theoretical knowledge and practical application.

The passing score for the Microsoft DevOps Engineer Expert exam is 700/1000. Note that Microsoft Azure uses a scaled scoring system, so focus on understanding all exam domains thoroughly rather than just achieving the minimum score.

The Microsoft DevOps Engineer Expert exam duration is 120 minutes (2 hours). This includes time for reviewing your answers. We recommend practicing with timed mock exams to manage your time effectively.

The Microsoft DevOps Engineer Expert exam costs $165. Prices may vary by region and are subject to change. Microsoft Azure occasionally offers discounts or voucher programs for certification exams.

The Microsoft DevOps Engineer Expert certification is valid for 1 year. To maintain your certification, you'll need to recertify before it expires, either by passing the current exam version or through Microsoft Azure's continuing education program.

While Microsoft Azure doesn't always require formal prerequisites, we recommend having hands-on experience with the relevant technologies. Familiarity with core concepts and practical experience will significantly improve your chances of passing the exam.

Yes, the Microsoft DevOps Engineer Expert exam is proctored and can be taken either at a testing center or online through remote proctoring. Online proctoring allows you to take the exam from home while being monitored via webcam. Ensure you have a quiet, private space with a stable internet connection if choosing the online option.

If you don't pass the Microsoft DevOps Engineer Expert exam on your first attempt, you can retake it. Microsoft Azure typically has a waiting period between attempts (usually 14 days for the first retake). Use this time to review the areas where you struggled and take additional practice exams.

To prepare for the Microsoft DevOps Engineer Expert exam, we recommend: 1) Review the official exam guide and objectives, 2) Gain hands-on experience with the technologies, 3) Use practice exams to identify knowledge gaps, 4) Study each exam domain thoroughly, and 5) Join study groups or forums to discuss challenging topics with other candidates.

Sources

About the Microsoft DevOps Engineer Expert Certification

The Microsoft DevOps Engineer Expert (AZ-400) is a expert-level certification offered by Microsoft Azure. This certification validates your expertise in devops and is recognized globally by employers seeking qualified professionals. The exam consists of 40-60 questions to be completed in 120 minutes, with a passing score of 700/1000. The exam fee is $165, and the certification is valid for 1 year.

Why Get Microsoft DevOps Engineer Expert Certified?

  • Career Advancement: Certified professionals earn an average of $145,000 per year. Microsoft Azure-certified professionals are among the most sought-after in the devops industry.
  • Industry Recognition: Microsoft Azure certifications are respected worldwide by employers, demonstrating verified competency in devops technologies and practices.
  • Skill Validation: The Microsoft DevOps Engineer Expert exam rigorously tests your knowledge across 5 domains, ensuring you have the practical skills employers demand.

Microsoft DevOps Engineer Expert Exam Format & Details

The AZ-400 exam is designed to test both theoretical knowledge and practical application. Candidates are given 120 minutes to complete the exam, which contains approximately 40-60 questions. A score of 700/1000 is required to pass. As an expert-level certification, it demands extensive experience and the ability to design complex solutions.

Exam Domains & Topics

The Microsoft DevOps Engineer Expert exam covers 5 key domains. Understanding the weight of each domain helps you allocate your study time effectively:

  • Configure Processes and Communications (10% of exam)
  • Design and Implement Source Control (15% of exam)
  • Design and Implement Build and Release Pipelines (40% of exam)
  • Develop a Security and Compliance Plan (10% of exam)
  • Implement an Instrumentation Strategy (10% of exam)

Who Should Take the Microsoft DevOps Engineer Expert Exam?

This certification is designed for professionals in the following roles:

  • IT professionals seeking Microsoft Azure expertise
  • DevOps practitioners looking to validate their skills
  • Professionals preparing for a career in devops
  • Technical specialists aiming to advance their career with an industry-recognized credential
  • Team leads and managers who need to understand devops concepts

Career Opportunities & Salary

Earning the Microsoft DevOps Engineer Expert certification opens doors to roles such as DevOps Engineer, Release Manager, Platform Engineer. Certified professionals earn an average salary of $145,000 per year, reflecting the high demand for devops skills in today's job market.

Recertification & Renewal

The Microsoft DevOps Engineer Expert certification is valid for 1 year. To maintain your credential, you will need to meet Microsoft Azure's renewal requirements before your certification expires. This may include earning continuing education credits, passing a recertification exam, or earning a higher-level certification.

Exam Registration & Cost

The AZ-400 exam costs $165. You can register through Microsoft Azure's official website or an authorized testing center. Most candidates choose between in-person testing at a Pearson VUE or PSI center and online proctored exams taken from home. Be sure to review the exam policies, including identification requirements and prohibited items, before your test date.

How to Prepare for AZ-400

Most candidates need 4-8 weeks of dedicated study to prepare for the Microsoft DevOps Engineer Expert exam. Start by reviewing the official exam objectives, then work through each domain systematically. Regular practice with exam-style questions is essential for building confidence and identifying weak areas. Combine reading with hands-on practice to develop both theoretical knowledge and practical skills.

HydraNode publishes 306 free AZ-400 practice questions with answers and explanations, plus a timed practice exam drawn from the same bank. Every question is written to the published objectives, so what you practise matches the format and difficulty of the actual AZ-400 exam.