Free Practice Questions for Microsoft Azure DevOps Engineer Expert (AZ-400) Certification

Design and implement a structure for the flow of work, including GitHub Flow

Design and implement a strategy for feedback cycles, including notifications and GitHub issues

Design and implement integration for tracking work, including GitHub projects, Azure Boards, and repositories

Design and implement source, bug, and quality traceability

Design and implement a dashboard, including flow of work, such as cycle times, time to recovery, and lead time

Design and implement appropriate metrics and queries for project planning

Design and implement appropriate metrics and queries for development

Design and implement appropriate metrics and queries for testing

Design and implement appropriate metrics and queries for security

Design and implement appropriate metrics and queries for delivery

Design and implement appropriate metrics and queries for operations

Document a project by configuring wikis and process diagrams, including Markdown and Mermaid syntax

Configure release documentation, including release notes and API documentation

Automate creation of documentation from Git history

Configure integration by using webhooks

Configure integration between Azure Boards and GitHub repositories

Configure integration between GitHub or Azure DevOps and Microsoft Teams

Design a branch strategy, including trunk-based, feature branch, and release branch

Design and implement a pull request workflow by using branch policies and branch protection rules

Implement branch merging restrictions by using branch policies and branch protection rules

Design and implement a strategy for managing large files, including Git Large File Storage (LFS) and git-fat

Design a strategy for scaling and optimizing a Git repository, including Scalar and cross-repository sharing

Configure permissions in the source control repository

Configure tags to organize the source control repository

Recover specific data by using Git commands

Remove specific data from source control

Recommend package management tools including GitHub Packages and Azure Artifacts

Design and implement package feeds and views for local and upstream packages

Design and implement a dependency versioning strategy for code assets and packages, including semantic versioning (SemVer) and date-based (CalVer)

Design and implement a versioning strategy for pipeline artifacts

Design and implement quality and release gates, including security and governance

Design a comprehensive testing strategy, including local tests, unit tests, integration tests, and load tests

Implement tests in a pipeline, including configuring test tasks, configuring test agents, and integration of test results

Implement code coverage analysis

Select a deployment automation solution, including GitHub Actions and Azure Pipelines

Design and implement a GitHub runner or Azure DevOps agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainability

Design and implement integration between GitHub repositories and Azure Pipelines

Develop and implement pipeline trigger rules

Develop pipelines by using YAML

Design and implement a strategy for job execution order, including parallelism and multi-stage pipelines

Develop and implement complex pipeline scenarios, such as hybrid pipelines, VM templates, and self-hosted runners or agents

Create reusable pipeline elements, including YAML templates, task groups, variables, and variable groups

Design and implement checks and approvals by using YAML-based environments

Design a deployment strategy, including blue-green, canary, ring, progressive exposure, feature flags, and A/B testing

Design a pipeline to ensure that dependency deployments are reliably ordered

Plan for minimizing downtime during deployments by using load balancing, rolling deployments, and deployment slot usage and swap

Design a hotfix path plan for responding to high-priority code fixes

Design and implement a resiliency strategy for deployment

Implement feature flags by using Azure App Configuration Feature Manager

Implement application deployment by using containers, binaries, and scripts

Implement a deployment that includes database tasks

Recommend a configuration management technology for application infrastructure

Implement a configuration management strategy for application infrastructure

Define an IaC strategy, including source control and automation of testing and deployment

Design and implement desired state configuration for environments, including Azure Automation State Configuration, Azure Resource Manager, Bicep, and Azure Machine Configuration

Design and implement Azure Deployment Environments for on-demand self-deployment

Monitor pipeline health, including failure rate, duration, and flaky tests

Optimize a pipeline for cost, time, performance, and reliability

Optimize pipeline concurrency for performance and cost

Design and implement a retention strategy for pipeline artifacts and dependencies

Migrate a pipeline from classic to YAML in Azure Pipelines

Choose between Microsoft Entra service principals and managed identities for Azure resources (system-assigned and user-assigned)

Implement and manage GitHub authentication, including GitHub Apps, GITHUB_TOKEN, and personal access tokens

Implement and manage Azure DevOps service connections and personal access tokens

Design and implement permissions and roles in GitHub

Design and implement permissions and security groups in Azure DevOps

Recommend appropriate access levels, including stakeholder access in Azure DevOps and outside collaborator access in GitHub

Configure projects and teams in Azure DevOps

Implement and manage secrets, keys, and certificates by using Azure Key Vault

Implement and manage secrets and secretless authentication (for example, workload identity federation/OpenID Connect) in GitHub Actions and Azure Pipelines

Design and implement a strategy for managing sensitive files during deployment, including Azure Pipelines secure files

Design pipelines to prevent leakage of sensitive information

Design a strategy for security and compliance scanning, including dependency, code, secret, and licensing scanning

Configure Microsoft Defender for Cloud DevOps Security

Configure GitHub Advanced Security for both GitHub and Azure DevOps

Integrate GitHub Advanced Security with Microsoft Defender for Cloud

Automate container scanning, including scanning container images and configuring an action to run CodeQL analysis in a container

Automate analysis of licensing, vulnerabilities, and versioning of open-source components by using Dependabot alerts

Configure Azure Monitor and Azure Monitor Logs to integrate with DevOps tools

Configure collection of telemetry by using Application Insights, VM Insights, Container Insights, Azure Monitor for Storage, and Azure Monitor for Networks

Configure monitoring in GitHub, including enabling insights and creating and configuring charts

Configure alerts for events in GitHub Actions and Azure Pipelines

Inspect infrastructure performance indicators, including CPU, memory, disk, and network

Analyze metrics by using collected telemetry, including usage and application performance

Inspect distributed tracing by using Application Insights

Interrogate logs using basic Kusto Query Language (KQL) queries