IT Certification

Microsoft AZ-400 Real Exam Questions

Last Update: 24 Sep 2023


Guarantee your AZ-400 exam success with examkiller's study guide. The AZ-400 practice test questions are developed by experiences Microsoft Certification Professionals who worki...


Guarantee your AZ-400 exam success with examkiller's study guide. The AZ-400 practice test questions are developed by experiences Microsoft Certification Professionals who working in todays prospering companies and Microsoft exam data center.

Exam Number: AZ-400

Exam Title: Designing and Implementing Microsoft DevOps Solutions

Passing Score: 700 (Total Score: 1000)(Tips: You should pass 70% for each section of the exam (bar on the chart), or else you still faild the exam even your total score more than 700 )

Origin Provider: ExamKiller

Total Questions: 424 QAs

Type: Real Exam Questions

Guarantee: 100% Pass Guarantee

Demo: Click Here for Check Demo

Microsoft AZ-400 Exam Objectives

Configure processes and communications (10–15%)

Configure activity traceability and flow of work

  • Plan and implement a structure for the flow of work and feedback cycles
  • Identify appropriate metrics related to flow of work, such as cycle times, time to recovery, and lead time
  • Integrate pipelines with work item tracking tools, such as Azure DevOps and GitHub
  • Implement traceability policies decided by development
  • Integrate a repository with Azure Boards

Configure collaboration and communication

  • Communicate actionable information by using custom dashboards in Azure DevOps
  • Document a project by using tools, such as wikis and process diagrams
  • Configure release documentation, including release notes and API documentation
  • Automate creation of documentation from Git history
  • Configure notifications by using webhooks

Design and implement source control (15–20%)

Design and implement a source control strategy

  • Design and implement an authentication strategy
  • Design a strategy for managing large files, including Git LFS and git-fat
  • Design a strategy for scaling and optimizing a Git repository, including Scalar and cross-repository sharing
  • Implement workflow hooks

Plan and implement branching strategies for the source code

  • 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 protections
  • Implement branch merging restrictions by using branch policies and branch protections

Configure and manage repositories

  • Integrate GitHub repositories with Azure Pipelines, one of the services in Azure DevOps
  • Configure permissions in the source control repository
  • Configure tags to organize the source control repository
  • Recover data by using Git commands
  • Purge data from source control

Design and implement build and release pipelines (40–45%)

Design and implement pipeline automation

  • Integrate pipelines with external tools, including dependency scanning, security scanning, and code coverage
  • Design and implement quality and release gates, including security and governance
  • Design integration of automated tests into a pipeline
  • Design and implement a comprehensive testing strategy (including local tests, unit tests, integration tests, and load tests)
  • Design and implement UI testing
  • Implement orchestration of tools, such as GitHub Actions and Azure Pipelines

Design and implement a package management strategy

  • Design a package management implementation that uses Azure Artifacts, GitHub Packages, NuGet, and npm
  • Design and implement package feeds, including upstream sources
  • Design and implement a dependency versioning strategy for code assets and packages, including semantic versioning and date-based
  • Design and implement a versioning strategy for pipeline artifacts

Design and implement pipelines

  • Select a deployment automation solution, including GitHub Actions and Azure Pipelines
  • Design and implement an agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainability
  • Develop and implement pipeline trigger rules
  • Develop pipelines, including classic and YAML
  • Design and implement a strategy for job execution order, including parallelism and multi-stage
  • Develop complex pipeline scenarios, such as containerized agents and hybrid
  • Configure and manage self-hosted agents, including virtual machine (VM) templates and containerization
  • Create reusable pipeline elements, including YAML templates, task groups, variables, and variable groups
  • Design and implement checks and approvals by using YAML environments

Design and implement deployments

  • Design a deployment strategy, including blue/green, canary, ring, progressive exposure, feature flags, and A/B testing
  • Design a pipeline to ensure reliable order of dependency deployments
  • Plan for minimizing downtime during deployments by using VIP swap, load balancer, and rolling deployments
  • Design a hotfix path plan for responding to high-priority code fixes
  • Implement load balancing for deployment, including Azure Traffic Manager and the Web Apps feature of Azure App Service
  • Implement feature flags by using Azure App Configuration Feature Manager
  • Implement application deployment by using containers, binary, and scripts

Design and implement infrastructure as code (IaC)

  • Recommend a configuration management technology for application infrastructure
  • Implement a configuration management strategy for application infrastructure, including IaC
  • 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 Automanage Machine Configuration

Maintain pipelines

  • Monitor pipeline health, including failure rate, duration, and flaky tests
  • Optimize pipelines for cost, time, performance, and reliability
  • Analyze pipeline load to determine agent configuration and capacity
  • Design and implement a retention strategy for pipeline artifacts and dependencies

Develop a security and compliance plan (10–15%)

Design and implement a strategy for managing sensitive information in automation

  • Implement and manage service connections
  • Implement and manage personal access tokens
  • Implement and manage secrets, keys, and certificates by using Azure Key Vault, GitHub secrets, and Azure Pipelines secrets
  • Design and implement a strategy for managing sensitive files during deployment
  • Design pipelines to prevent leakage of sensitive information

Automate security and compliance scanning

  • Automate analysis of source code by using GitHub code scanning, GitHub secrets scanning, pipeline-based scans, and SonarQube
  • Automate security scanning, including container scanning and OWASP ZAP
  • Automate analysis of licensing, vulnerabilities, and versioning of open-source components by using Mend Bolt and GitHub Dependency Scanning

Implement an instrumentation strategy (10–15%)

Configure monitoring for a DevOps environment

  • Configure and integrate monitoring by using Azure Monitor
  • Configure and integrate with monitoring tools, such as Azure Monitor and Application Insights
  • Manage access control to the monitoring platform
  • Configure alerts for pipeline events

Analyze metrics

  • Inspect distributed tracing by using Application Insights
  • Inspect application performance indicators
  • Inspect infrastructure performance indicators, including CPU, memory, disk, and network
  • Identify and monitor metrics for business value
  • Analyze usage metrics by using Application Insights
  • Interrogate logs using basic Kusto Query Language (KQL) queries

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