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Microsoft AZ-400 Exam Topics, Blueprint and Syllabus

Microsoft Azure DevOps Solutions

Last Update December 21, 2024
Total Questions : 509

Our Microsoft Azure AZ-400 exam questions and answers cover all the topics of the latest Microsoft Azure DevOps Solutions exam, See the topics listed below. We also provide Microsoft AZ-400 exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of Microsoft AZ-400 resources to help you understand the topics covered in the exam, such as Microsoft Azure video tutorials, AZ-400 study guides, and AZ-400 practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.

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Microsoft AZ-400 Exam Overview :

Exam Name Microsoft Azure DevOps Solutions
Exam Code AZ-400
Actual Exam Duration The duration of the Microsoft AZ-400 exam is 150 minutes.
Expected no. of Questions in Actual Exam 60
What exam is all about Microsoft AZ-400 is an exam that tests the skills and knowledge of candidates in designing and implementing DevOps practices for Microsoft Azure. The exam covers various topics such as continuous integration and delivery, infrastructure as code, monitoring and feedback loops, and collaboration and communication. The exam is intended for professionals who are responsible for implementing DevOps practices in their organizations and have experience working with Azure technologies. Passing the exam demonstrates the candidate's ability to design and implement DevOps practices using Azure technologies and tools.
Passing Score required The passing score required in the Microsoft AZ-400 exam is 700 out of 1000. This means that you need to answer at least 70% of the questions correctly to pass the exam. It is important to note that the passing score may vary depending on the difficulty level of the exam. Therefore, it is recommended to aim for a higher score to ensure that you pass the exam with a comfortable margin.
Competency Level required Based on the official Microsoft documentation, the AZ-400 exam is designed for individuals who have a strong understanding of DevOps practices and principles, as well as experience working with Azure DevOps and related technologies. Candidates should have experience with continuous integration and delivery, infrastructure as code, and monitoring and logging practices. Additionally, candidates should have experience with agile methodologies and be able to collaborate effectively with development and operations teams. The exam is intended for individuals who are seeking to become certified as a Microsoft Certified: Azure DevOps Engineer Expert.
Questions Format The Microsoft AZ-400 exam consists of multiple-choice questions, drag and drop questions, and scenario-based questions. The exam may also include simulations and case studies.
Delivery of Exam The Microsoft AZ-400 exam is available in two delivery modes: 1. Online proctored exam: This mode allows you to take the exam from the comfort of your home or office. You will need a reliable internet connection, a webcam, and a quiet, private space to take the exam. The exam is monitored by a proctor who will ensure that you follow the exam rules and guidelines. 2. Testing center exam: This mode requires you to visit a Pearson VUE testing center to take the exam. You will need to schedule an appointment in advance and bring a valid ID with you to the testing center. The exam is administered on a computer and you will receive your results immediately after completing the exam.
Language offered English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, Indonesian (Indonesia)
Cost of exam $165 USD
Target Audience The Microsoft AZ-400 certification exam is designed for professionals who are involved in the development, deployment, and management of applications on the Microsoft Azure platform. The target audience for this exam includes: 1. DevOps Engineers: These professionals are responsible for the development, testing, and deployment of software applications. They work closely with developers, operations teams, and other stakeholders to ensure that applications are delivered quickly and reliably. 2. Cloud Architects: These professionals design and implement cloud-based solutions using Microsoft Azure. They are responsible for ensuring that applications are scalable, secure, and highly available. 3. IT Managers: These professionals are responsible for managing IT operations and ensuring that applications are delivered on time and within budget. They work closely with DevOps engineers and cloud architects to ensure that applications are deployed and managed effectively. 4. Developers: These professionals are responsible for writing code and developing applications. They work closely with DevOps engineers to ensure that applications are tested and deployed quickly and reliably. 5. Operations Teams: These professionals are responsible for managing the infrastructure and ensuring that applications are running smoothly. They work closely with DevOps engineers and cloud architects to ensure that applications are deployed and managed effectively.
Average Salary in Market The average salary for a Microsoft Certified: Azure DevOps Engineer Expert is around $120,000 per year in the United States. However, the salary may vary depending on the location, experience, and other factors.
Testing Provider You can visit the official Microsoft website to register for the exam or contact a Microsoft certified training provider for more information.
Recommended Experience According to Microsoft, the recommended experience for the AZ-400 exam includes: 1. Experience with Azure DevOps and its components, including Azure Boards, Azure Repos, Azure Artifacts, and Azure Test Plans. 2. Experience with Agile practices, including Scrum and Kanban. 3. Experience with continuous integration and continuous delivery (CI/CD) pipelines. 4. Experience with infrastructure as code (IaC) and configuration management tools such as Azure Resource Manager (ARM) templates, Terraform, and Ansible. 5. Experience with monitoring and logging tools such as Azure Monitor, Application Insights, and Log Analytics. 6. Experience with containerization technologies such as Docker and Kubernetes. 7. Experience with scripting languages such as PowerShell and Bash. 8. Familiarity with programming languages such as C#, Java, and Python. 9. Familiarity with cloud computing concepts and services, including virtual machines, storage, networking, and security. 10. Familiarity with DevOps principles and practices, including continuous improvement, collaboration, and feedback loops.
Prerequisite The prerequisites for the Microsoft AZ-400 exam are as follows: 1. Candidates should have a fundamental understanding of Azure DevOps and its components. 2. Candidates should have experience working with Agile methodologies and DevOps practices. 3. Candidates should have experience working with source control systems such as Git. 4. Candidates should have experience working with continuous integration and continuous delivery (CI/CD) pipelines. 5. Candidates should have experience working with infrastructure as code (IaC) tools such as Azure Resource Manager (ARM) templates or Terraform. 6. Candidates should have experience working with testing and deployment automation tools such as Selenium or Azure Test Plans. 7. Candidates should have experience working with monitoring and logging tools such as Azure Monitor or Application Insights. 8. Candidates should have experience working with containerization technologies such as Docker and Kubernetes. 9. Candidates should have experience working with scripting languages such as PowerShell or Bash. 10. Candidates should have experience working with cloud computing platforms such as Microsoft Azure.
Retirement (If Applicable) Microsoft usually provides a retirement notice at least six months before retiring an exam. It is recommended to check the Microsoft website or contact their support team for the latest information on the retirement date of the AZ-400 exam.
Certification Track (RoadMap): The Microsoft AZ-400 exam is part of the Azure DevOps Engineer Expert certification track. This certification track is designed for professionals who want to demonstrate their expertise in implementing DevOps practices using Microsoft Azure technologies. The certification track consists of two exams: 1. AZ-400: Designing and Implementing Microsoft DevOps Solutions 2. AZ-204: Developing Solutions for Microsoft Azure To earn the Azure DevOps Engineer Expert certification, candidates must pass both exams. The AZ-400 exam measures the candidate's ability to design and implement DevOps practices using Azure technologies. The exam covers topics such as continuous integration and delivery, infrastructure as code, monitoring and logging, and security and compliance. The certification track is designed for professionals who have experience working with Azure technologies and are familiar with DevOps practices. Candidates should have experience with source control, continuous integration and delivery, infrastructure as code, and monitoring and logging. Overall, the Azure DevOps Engineer Expert certification track is designed to help professionals demonstrate their expertise in implementing DevOps practices using Microsoft Azure technologies.
Official Information https://www.microsoft.com/en-us/learning/exam-az-400.aspx
See Expected Questions Microsoft AZ-400 Expected Questions in Actual Exam
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Microsoft AZ-400 Exam Topics :

Section Weight Objectives
Develop an Instrumentation Strategy 5-10% - Design and implement logging
  • assess and Configure a log framework
  • design a log aggregation and storage strategy (e.g. Azure storage)
  • design a log aggregation and query strategy using Azure Monitor
  • manage access control to logs (workspace-centric/resource-centric)
  • integrate crash analytics (App Center Crashes, Crashlytics)
- Design and implement telemetry
  • design and implement distributed tracing
  • inspect application performance indicators
  • inspect infrastructure performance indicators
  • define and measure key metrics (CPU, memory, disk, network)
  • implement alerts on key metrics (email, SMS, webhooks, Teams/Slack)
  • integrate user analytics (e.g. Application Insights funnels, Visual Studio App Center, TestFlight, Google Analytics)
- Integrate logging and monitoring solutions
  • configure and integrate container monitoring (Azure Monitor, Prometheus, etc.)
  • configure and integrate with monitoring tools (Azure Monitor Application Insights, Dynatrace, New Relic, Naggios, Zabbix)
  • create feedback loop from platform monitoring tools (e.g. Azure Diagnostics extension, Log Analytics agent, Azure Platform Logs, Event Grid)
  • manage Access control to the monitoring platform
Develop a Site Reliability Engineering (SRE) strategy 5-10% - Develop an actionable alerting strategy
  • identify and recommend metrics on which to base alerts
  • implement alerts using appropriate metrics
  • implement alerts based on appropriate log messages
  • implement alerts based on application health checks
  • analyze combinations of metrics
  • develop communication mechanism to notify users of degraded systems
  • implement alerts for self-healing activities (e.g. scaling, failovers)
- Design a failure prediction strategy
  • analyze behavior of system with regards to load and failure conditions
  • calculate when a system will fail under various conditions
  • measure baseline metrics for system
  • Leverage Application Insights Smart Detection and Dynamic thresholds in Azure Monitor
- Design and implement a health check
  • analyze system dependencies to determine which dependency should be included in health check
  • calculate healthy response timeouts based on SLO for the service
  • design approach for partial health situations
  • design approach for piecemeal recovery (e.g. to improve recovery time objective strategies)
  • integrate health check with compute environment
  • implement different types of health checks (container liveness, startup, shutdown)
Develop a security and compliance plan 10-15% - Design an authentication and authorization strategy
  • design an access solution (Azure AD Privileged Identity Management (PIM), Azure AD Conditional Access, MFA, Azure AD B2B, etc.)
  • implement Service Principals and Managed Identity
  • configure service connections
- Design a sensitive information management strategy
  • evaluate and configure vault solution (Azure Key Vault, Hashicorp Vault)
  • manage security certificates
  • design a secrets storage and retrieval strategy (KeyVault secrets, GitHub secrets, Azure Pipelines secrets)
  • formulate a plan for deploying secret files as part of a release
- Develop security and compliance
  • automate dependencies scanning for security (container scanning, OWASP)
  • automate dependencies scanning for compliance (licenses: MIT, GPL)
  • assess and report risks
  • design a source code compliance solution (e.g. GitHub Code scanning, GitHub Secret scanning, pipeline-based scans, Git hooks, SonarQube, Dependabot, etc.)

- Design governance enforcement mechanisms

  • implement Azure policies to enforce organizational requirements
  • implement container scanning (e.g. static scanning, malware, crypto mining)
  • design and implement Azure Container Registry Tasks
  • design break-the-glass strategy for responding to security incidents
Manage source control 10-15% - Develop a modern source control strategy
  • integrate/migrate disparate source control systems (e.g. GitHub, Azure Repos)
  • design authentication strategies
  • design approach for managing large binary files (e.g. Git LFS)
  • design approach for cross repository sharing (e.g. Git sub-modules, packages)
  • implement workflow hooks
  • design approach for efficient code reviews (e.g. GitHub code review assignments, schedule reminders, Pull Analytics)

- Plan and implement branching strategies for the source code

  • define Pull Requests (PR) guidelines to enforce work item correlation
  • implement branch merging restrictions (e.g. branch policies, branch protections, manual, etc.)
  • define branch strategy (e.g. trunk based, feature branch, release branch, GitHub flow)
  • design and implement a PR workflow (code reviews, approvals)
  • enforce static code analysis for code-quality consistency on PR
- Configure repositories
  • configure permissions in the source control repository
  • organize the repository with git-tags
  • plan for handling oversized repositories
  • plan for content recovery in all repository states
  • purge data from source control

- Integrate source control with tools

  • integrate GitHub with DevOps pipelines
  • integrate GitHub with identity management solutions (Azure AD)
  • design for GitOps
  • design for ChatOps
  • integrate source control artifacts for human consumption (e.g. Git changelog)
  • integrate GitHub Codespaces
Facilitate communication and collaboration 10-15% - Communicate deployment and release information with business stakeholders
  • create dashboards combining boards, pipelines (custom dashboards on Azure DevOps)
  • design a cost management communication strategy
  • integrate release pipeline with work item tracking (e.g. AZ DevOps, Jira)
  • integrate GitHub as repository with Azure Boards
  • communicate user analytics

- Generate DevOps process documentation

  • design onboarding process for new employees
  • assess and document external dependencies (e.g. integrations, packages)
  • assess and document artifacts (version, release notes)

- Automate communication with team members

  • integrate monitoring tools with communication platforms (e.g. Teams, Slack, dashboards)
  • notify stakeholders about key metrics, alerts, severity using communication and project management platforms (e.g. Email, SMS, Slack, Teams, ServiceNow, etc.)
  • integrate build and release with communication platforms (e.g. build fails, release fails)
  • integrate GitHub pull request approvals via mobile apps
Define and implement continuous integration 20-25% - Design build automation
  • integrate the build pipeline with external tools (e.g., Dependency and security scanning, Code coverage)
  • implement quality gates (e.g. code coverage, internationalization, peer review)
  • design a testing strategy (e.g. integration, load, fuzz, API, chaos)
  • integrate multiple tools (e.g. GitHub Actions, Azure Pipeline, Jenkins)

- Design a package management strategy

  • recommend package management tools (e.g. GitHub Packages, Azure Artifacts, Azure Automation Runbooks Gallery, Nuget, Jfrog, Artifactory)
  • design an Azure Artifacts implementation including linked feeds
  • design versioning strategy for code assets (e.g. SemVer, date based)
  • plan for assessing and updating and reporting package dependencies (GitHub Automated Security Updates, NuKeeper, GreenKeeper)
  • design a versioning strategy for packages (e.g. SemVer, date based)
  • design a versioning strategy for deployment artifacts
- Design an application infrastructure management strategy
  • assess a configuration management mechanism for application infrastructure
  • define and enforce desired state configuration for environments

- Implement a build strategy

  • design and implement build agent infrastructure (include cost, tool selection, licenses, maintainability)
  • develop and implement build trigger rules
  • develop build pipelines
  • design build orchestration (products that are composed of multiple builds)
  • integrate configuration into build process
  • develop complex build scenarios (e.g. containerized agents, hybrid, GPU)

- Maintain build strategy

  • monitor pipeline health (failure rate, duration, flaky tests)
  • optimize build (cost, time, performance, reliability)
  • analyze CI load to determine build agent configuration and capacity

- Design a process for standardizing builds across organization

  • manage self-hosted build agents (VM templates, containerization, etc.)
  • create reuseable build subsystems (YAML templates, Task Groups, Variable Groups, etc.)
Define and implement a continuous delivery and release management strategy 10-15% - Develop deployment scripts and templates
  • recommend a deployment solution (e.g. GitHub Actions, Azure Pipelines, Jenkins, CircleCI, etc.)
  • design and implement Infrastructure as code (ARM, Terraform, PowerShell, CLI)
  • develop application deployment process (container, binary, scripts)
  • develop database deployment process (migrations, data movement, ETL)
  • integrate configuration management as part of the release process
  • develop complex deployments (IoT, Azure IoT Edge, mobile, App Center, DR, multi-region, CDN, sovereign cloud, Azure Stack, etc.)
- Implement an orchestration automation solution
  • combine release targets depending on release deliverable (e.g., Infrastructure, code, assets, etc.)
  • design the release pipeline to ensure reliable order of dependency deployments
  • organize shared release configurations and process (YAML templates, variable groups, Azure App Configuration)
  • design and implement release gates and approval processes
- Plan the deployment environment strategy
  • design a release strategy (blue/green, canary, ring)
  • implement the release strategy (using deployment slots, load balancer configurations, Azure Traffic Manager, feature toggle, etc.)
  • select the appropriate desired state solution for a deployment environment (PowerShell DSC, Chef, Puppet, etc.)
  • plan for minimizing downtime during deployments (VIP Swap, Load balancer, rolling deployments, etc.)
  • design a hotfix path plan for responding to high priority code fixes