AZ-400 Microsoft DevOps Engineer Expert Practice
Begin your Microsoft DevOps Engineer Expert preparation with free AZ-400 exercises. Candidates can start immediately with the free version, then upgrade to the premium version with an access code for deeper practice, wider question coverage, and stronger exam-readiness support.
Start with free AZ-400 exercises, then upgrade for deeper preparation
The exercises on this page are offered free so candidates can begin immediately. The premium version is available for learners who want a broader, more intensive preparation experience and requires a valid access code before entry.
Begin at no cost
Use the free version to start building confidence with AZ-400 domains before deciding whether to unlock the full premium practice experience.
- Free entry point for candidates who want to test readiness first.
- Topic-based practice across the 10 AZ-400 preparation sections.
- Useful for early revision, quick diagnostics, and first-stage confidence building.
Unlock deeper AZ-400 practice
The premium version is designed for candidates who want more serious preparation, stronger topic coverage, and a more complete practice environment. It highlights 1000+ premium exercises, detailed explanations, real-exam-standard practice, and timed conditions that better simulate the AZ-400 exam atmosphere. Premium access requires a purchased access code and is positioned for learners who need deeper exam-style revision before taking AZ-400.
- Best for candidates preparing seriously for the Microsoft DevOps Engineer Expert exam.
- 1000+ premium exercises with detailed explanations and stronger revision depth.
- Timed practice conditions help simulate the pressure and pacing of the real exam.
- Use an access code to unlock the premium preparation pathway.
Free exercise coverage
What the Free AZ-400 Exercise Page Covers
This free AZ-400 exercise page is organized into 10 clear sections so learners can begin with structured DevOps Engineer Expert practice instead of treating DevOps as one large, unstructured topic. It covers flow of work, metrics, collaboration, source control, repository operations, package management, pipeline quality, CI/CD automation, release strategy, security, compliance, instrumentation, and monitoring in a practical and manageable way.
Move between planning, source control, pipelines, deployments, security, and monitoring during revision so the DevOps lifecycle connects naturally and scenario-based decisions become easier to interpret.
Flow of Work Design: Traceability, Work Item Integration, and Feedback Loops
Build a stronger DevOps operating model by understanding how work moves from idea to deployment, how teams preserve traceability across tools, and how feedback loops improve speed and quality.
- Design a practical flow of work that connects planning, coding, testing, deployment, and review activities
- Understand GitHub Flow and related lightweight delivery patterns used in modern DevOps teams
- Connect GitHub Projects, Azure Boards, repositories, pull requests, builds, and releases into one trackable delivery path
- Improve traceability across commits, work items, bugs, pull requests, pipelines, test results, and production changes
- Use notifications, issue automation, and review signals to shorten feedback cycles and reduce handoff delays
- Study how flow design affects lead time, visibility, accountability, and operational confidence
- Strengthen your ability to answer scenario questions about work tracking and delivery coordination
- Use this section when you want clearer control of how DevOps work is planned, linked, and reviewed
DevOps Metrics, Dashboards, and Query Strategy
Learn how high-performing DevOps teams measure delivery effectiveness by using the right metrics, dashboard structure, and query design across planning, development, testing, recovery, and security operations.
- Understand why metrics such as lead time, cycle time, deployment frequency, and time to recovery matter
- Design dashboards that highlight delivery flow, stability, bottlenecks, and operational risk
- Use planning and work-item queries to improve visibility into progress, backlog movement, and blocked work
- Review development and testing metrics that show code quality, pipeline health, and defect patterns
- Include security-related measurement where compliance, vulnerability response, and governance checks matter
- Learn how poor metric selection can encourage the wrong behaviour or hide delivery problems
- Strengthen exam readiness for questions that test DevOps measurement strategy rather than isolated tool clicks
- Use this section when you want more confidence in operational reporting and evidence-based improvement
Collaboration and Communication Engineering: Docs, Integrations, Notifications
Improve collaboration across engineering, operations, and business stakeholders by designing documentation, release communication, webhook-driven integrations, and notification patterns that keep everyone aligned.
- Use wikis, Markdown, diagrams, and release documentation to improve shared understanding of systems and delivery processes
- Review ways to generate useful release notes and API documentation from source control and delivery history
- Understand when webhooks and service integrations help automate communication across DevOps tools
- Connect Azure Boards and GitHub repositories so planning and development remain synchronized
- Integrate GitHub or Azure DevOps with Microsoft Teams for faster alerts, approvals, and feedback
- Reduce communication gaps that often delay releases or hide important delivery signals
- Strengthen your understanding of how collaboration architecture supports faster, safer delivery
- Use this section to prepare for scenario questions involving documentation, notifications, and cross-tool coordination
Source Control Strategy: Branching Models and Pull Request Governance
Master branch strategy and review governance so teams can move quickly without losing code quality, policy consistency, or release stability.
- Compare trunk-based development, feature branching, and release branching from a delivery and governance perspective
- Understand how pull request workflows enforce review quality and protect critical branches
- Study branch policies in Azure Repos and branch protection rules in GitHub
- Use build validation, status checks, reviewer requirements, and merge restrictions to improve confidence in changes
- Review how branching choices affect release cadence, conflict management, and deployment risk
- Learn when to prefer simpler branch models to support continuous integration and smaller batch sizes
- Build stronger judgement for exam questions that combine source control strategy with governance requirements
- Use this section to sharpen practical decisions around collaboration, approval, and merge control
Repository Operations at Scale: Large Files, Performance, Permissions, and Data Hygiene
Develop the repository management skills needed for larger engineering environments, including performance optimization, permission control, tagging, recovery workflows, and sensitive data cleanup.
- Understand large file strategies such as Git LFS and related approaches for handling oversized assets
- Review repository scale and performance considerations where tooling, history size, and team growth affect usability
- Configure repository permissions with stronger awareness of least privilege and team ownership boundaries
- Use tags and release markers to improve version visibility and delivery coordination
- Recognize when revert, reset, cherry-pick, or reflog concepts are appropriate during recovery scenarios
- Understand the risks and purpose of history rewriting when removing secrets or unwanted content
- Strengthen operational judgement for repository governance in enterprise DevOps environments
- Use this section to build confidence in both Git hygiene and repository administration decisions
Artifact and Dependency Management: Feeds, Upstreams, and Versioning
Strengthen your package management strategy by learning how artifact feeds, upstream sources, and versioning choices support repeatable builds and controlled software delivery.
- Compare GitHub Packages and Azure Artifacts in terms of fit, control, and ecosystem alignment
- Understand feeds, views, upstream sources, and how they simplify dependency management at scale
- Study versioning models such as semantic versioning and calendar versioning and when each is useful
- Design cleaner dependency strategies that reduce confusion across environments and release cycles
- Review how pipeline artifacts differ from package artifacts and why both matter in delivery workflows
- Improve your ability to trace build outputs and published components through the release process
- Build confidence for exam scenarios involving package storage, promotion, and dependency control
- Use this section when you want stronger command of artifact flow and release consistency
Pipeline Quality Engineering: Testing Strategy, Gates, Coverage, and Results
Create stronger pipelines by understanding how test design, quality gates, security checks, and result interpretation combine to protect delivery speed and production confidence.
- Design pipeline testing strategies that cover local tests, unit tests, integration tests, and load tests appropriately
- Understand how quality gates and release gates help control risk before promotion to later environments
- Include security and governance validation where compliance and policy controls are required
- Review test result visibility, failure interpretation, and coverage awareness in automated pipelines
- Recognize the cost of weak testing design in terms of instability, rework, and delayed releases
- Learn how to position the right test at the right stage instead of overloading every pipeline run
- Strengthen readiness for scenario questions that ask how to improve quality without slowing delivery excessively
- Use this section to connect test engineering with practical DevOps release decisions
CI/CD Pipeline Architecture: YAML, Triggers, Runners or Agents, Templates, Approvals
Understand how to design maintainable automation by choosing the right delivery platform, structuring YAML effectively, and configuring runners, agents, triggers, templates, and approvals with purpose.
- Compare GitHub Actions and Azure Pipelines for different delivery, governance, and ecosystem requirements
- Design runner or agent infrastructure with better awareness of tooling, cost, security, licensing, and connectivity
- Review trigger patterns including pull request triggers, path filters, scheduled runs, and multi-repository automation
- Use YAML pipelines and templates to improve reuse, readability, and operational consistency
- Understand execution order, dependencies, environments, approvals, and conditions across multi-stage pipelines
- Strengthen your ability to design pipelines that are both scalable and easier to maintain
- Prepare for exam scenarios that test architecture choice rather than only syntax recognition
- Use this section when you want better control of pipeline design across real DevOps environments
Release and Deployment Strategy with Infrastructure as Code
Learn how modern DevOps teams deliver changes safely by combining progressive deployment patterns, environment sequencing, database considerations, feature management, and infrastructure as code.
- Compare blue-green, canary, ring, and progressive exposure strategies in terms of risk and control
- Understand how feature flags help separate deployment from release and reduce customer impact
- Review environment sequencing and dependency ordering across application, infrastructure, and database changes
- Strengthen your awareness of deployment rollback planning and release safety mechanisms
- Use infrastructure as code concepts to support consistency, repeatability, and desired state management
- Recognize how database deployment strategy can become a bottleneck if it is not designed carefully
- Prepare for scenario questions that combine release strategy with operational resilience and governance
- Use this section to build a more practical deployment mindset for expert-level DevOps work
Security, Compliance Automation, Instrumentation, and Monitoring
Finish your AZ-400 preparation with the controls that help teams deliver securely and observe systems effectively, from identity and service connections to telemetry, alerting, and operational insight.
- Review authentication and authorization choices used across GitHub, Azure DevOps, and Azure resources
- Compare service principals and managed identities in terms of security posture and operational fit
- Understand GitHub authentication models such as GitHub Apps, GITHUB_TOKEN, and personal access tokens
- Study Azure DevOps service connections and token-based access with stronger governance awareness
- Strengthen your understanding of permissions models and role design in secure DevOps implementations
- Connect monitoring, instrumentation, logs, metrics, and alerts to release quality and service reliability
- Recognize how observability supports faster troubleshooting, recovery, and continuous improvement
- Use this section to prepare for integrated scenario questions involving DevOps security and operational visibility
This free 10-section structure supports stronger AZ-400 preparation by breaking DevOps into manageable domains while still showing how planning, collaboration, source control, artifacts, testing, pipelines, deployment, security, compliance, and observability connect across the delivery lifecycle.
Choose a Free AZ-400 Practice Section
Open any free section directly to begin focused revision. After using the free version, candidates who want more depth can move to the premium version and enter with a valid access code.
Each free section opens in a new tab. For deeper preparation, use the premium version with an access code: open AZ-400 premium practice.
Why candidates should start free and consider premium access
The free version gives candidates a low-risk way to begin AZ-400 practice immediately. The premium version is positioned for candidates who want more complete preparation, more serious revision, and access-code protected practice beyond the free starting point.
The structure separates AZ-400 into recognizable DevOps domains so learners can quickly identify whether they need to review work tracking, metrics, collaboration, branching, repositories, artifacts, testing, CI/CD architecture, deployment strategy, security, compliance, instrumentation, or monitoring.
This free-to-premium pathway is especially useful because candidates can first confirm that the content style works for them, then buy an access code when they are ready to move into a more intensive premium preparation environment.
Why the free and premium structure works for learners
Have questions?
Frequently Asked Questions
These short answers explain how to use the free AZ-400 exercises and when to move to the premium version.
Are the AZ-400 exercises on this page free?
Yes. The exercises on this page are offered free so candidates can begin AZ-400 practice immediately. The free version is a useful starting point before moving to the premium version.
What is the premium version?
The premium version is the upgraded AZ-400 preparation option for candidates who want deeper practice beyond the free version. It requires a valid access code before users can enter.
How do candidates access the premium version?
Candidates should buy an access code, activate it, and then use the premium AZ-400 practice link provided on this page. The premium link is designed as a clear upgrade path after the free exercises.
Should candidates start with free or premium practice?
Candidates can start with the free version to test their readiness and understand the question flow. Those preparing seriously for the exam should consider premium access because it provides a stronger preparation pathway.