Overview

AZ-400: Microsoft DevOps Engineer Expert certification is designed for professionals who are looking to validate their expertise in implementing DevOps practices and principles within an organization. This certification focuses on the integration of development and operations, emphasizing the importance of collaboration, automation, and continuous delivery. Candidates will gain a comprehensive understanding of how to design and implement DevOps strategies that enhance productivity and efficiency, ultimately leading to improved software delivery and operational performance.AZ-400: Microsoft DevOps Engineer Expert Certification Practice Exam is an essential resource for professionals seeking to validate their expertise in DevOps practices and principles within the Microsoft Azure ecosystem. This comprehensive practice exam is designed to simulate the actual certification test, providing candidates with a realistic assessment of their knowledge and skills. It covers a wide range of topics, including continuous integration and delivery, infrastructure as code, and monitoring and feedback, ensuring that users are well-prepared for the challenges they will face in the certification exam.Each question in the practice exam is meticulously crafted to reflect the format and difficulty level of the official AZ-400 certification exam. Candidates will encounter a variety of question types, including multiple-choice, scenario-based, and drag-and-drop questions, which not only test their theoretical understanding but also their practical application of DevOps methodologies. Detailed explanations and rationales accompany each question, allowing users to learn from their mistakes and deepen their understanding of key concepts. This feature is particularly beneficial for those who may struggle with certain topics, as it provides an opportunity for targeted learning and improvement.This certification covers a wide range of topics essential for a successful DevOps Engineer, including the development of a DevOps strategy, the implementation of continuous integration and continuous delivery (CI/CD) pipelines, and the management of source control. Additionally, it delves into the use of Azure DevOps services, enabling candidates to leverage cloud-based tools for project management, version control, and automated testing. By mastering these skills, professionals will be equipped to foster a culture of collaboration and innovation within their teams, driving significant improvements in software development lifecycles.Earning the AZ-400 certification not only enhances an individual's technical skills but also positions them as a leader in the rapidly evolving field of DevOps. This credential is recognized globally and demonstrates a commitment to best practices in software development and IT operations. As organizations increasingly adopt DevOps methodologies to stay competitive, certified professionals will find themselves in high demand, with opportunities to influence and shape the future of technology within their organizations. The AZ-400 certification is a vital step for any IT professional aiming to excel in the dynamic landscape of DevOps.Microsoft DevOps Engineer Expert Exam Summary:Exam Name: Microsoft Certified - DevOps Engineer ExpertExam code: AZ-400Exam voucher cost: $165 USDExam languages: English, Japanese, Korean, and Simplified ChineseExam format: Multiple-choice, multiple-answerNumber of questions: 40-60 (estimate)Length of exam: 150 minutesPassing grade: Score is from 700-1000.Microsoft DevOps Engineer Expert Exam Syllabus Topics:Configure processes and communications (10-15%)Configure activity traceability and flow of workPlan and implement a structure for the flow of work and feedback cyclesIdentify appropriate metrics related to flow of work, such as cycle times, time to recovery, and lead timeIntegrate Azure pipelines and GitHub Actions with work item tracking toolsImplement traceability policies decided by developmentIntegrate a repository with Azure BoardsConfigure collaboration and communicationCommunicate actionable information by using custom dashboards in Azure BoardsDocument a project by using tools, such as wikis and process diagramsConfigure release documentation, including release notes and API documentationAutomate creation of documentation from Git historyConfigure notifications by using webhooksDesign and implement source control (15-20%)Design and implement a source control strategyDesign and implement an authentication strategyDesign a strategy for managing large files, including Git LFS and git-fatDesign a strategy for scaling and optimizing a Git repository, including Scalar and cross-repository sharingImplement workflow hooksPlan and implement branching strategies for the source codeDesign a branch strategy, including trunk-based, feature branch, and release branchDesign and implement a pull request workflow by using branch policies and branch protectionsImplement branch merging restrictions by using branch policies and branch protectionsConfigure and manage repositoriesIntegrate GitHub repositories with Azure PipelinesConfigure permissions in the source control repositoryConfigure tags to organize the source control repositoryRecover data by using Git commandsPurge data from source controlDesign and implement build and release pipelines (40-45%)Design and implement pipeline automationIntegrate pipelines with external tools, including dependency scanning, security scanning, and code coverageDesign and implement quality and release gates, including security and governanceDesign integration of automated tests into pipelinesDesign and implement a comprehensive testing strategy (including local tests, unit tests, integration tests, and load tests)Design and implement UI testingImplement orchestration of tools, such as GitHub Actions and Azure PipelinesDesign and implement a package management strategyDesign a package management implementation that uses Azure Artifacts, GitHub Packages, NuGet, and npmDesign and implement package feeds, including upstream sourcesDesign and implement a dependency versioning strategy for code assets and packages, including semantic versioning and date-basedDesign and implement a versioning strategy for pipeline artifactsDesign and implement pipelinesSelect a deployment automation solution, including GitHub Actions and Azure PipelinesDesign and implement an agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainabilityDevelop and implement pipeline trigger rulesDevelop pipelines, including classic and YAMLDesign and implement a strategy for job execution order, including parallelism and multi-stageDevelop complex pipeline scenarios, such as containerized agents and hybridConfigure and manage self-hosted agents, including virtual machine (VM) templates and containerizationCreate reusable pipeline elements, including YAML templates, task groups, variables, and variable groupsDesign and implement checks and approvals by using YAML environmentsDesign and implement deploymentsDesign a deployment strategy, including blue/green, canary, ring, progressive exposure, feature flags, and A/B testingDesign a pipeline to ensure reliable order of dependency deploymentsPlan for minimizing downtime during deployments by using VIP swap, load balancer, and rolling deploymentsDesign a hotfix path plan for responding to high-priority code fixesImplement load balancing for deployment, including Azure Traffic Manager and the Web Apps feature of Azure App ServiceImplement feature flags by using Azure App Configuration Feature ManagerImplement application deployment by using containers, binary, and scriptsDesign and implement infrastructure as code (IaC)Recommend a configuration management technology for application infrastructureImplement a configuration management strategy for application infrastructure, including IaCDefine an IaC strategy, including source control and automation of testing and deploymentDesign and implement desired state configuration for environments, including Azure Automation State Configuration, Azure Resource Manager, Bicep, and Azure Automanage Machine ConfigurationMaintain pipelinesMonitor pipeline health, including failure rate, duration, and flaky testsOptimize pipelines for cost, time, performance, and reliabilityAnalyze pipeline load to determine agent configuration and capacityDesign and implement a retention strategy for pipeline artifacts and dependenciesDevelop a security and compliance plan (10-15%)Design and implement a strategy for managing sensitive information in automationImplement and manage service connectionsImplement and manage personal access tokensImplement and manage secrets, keys, and certificates by using Azure Key Vault, GitHub secrets, and Azure Pipelines secretsDesign and implement a strategy for managing sensitive files during deploymentDesign pipelines to prevent leakage of sensitive informationAutomate security and compliance scanningAutomate analysis of source code by using GitHub code scanning, GitHub secrets scanning, pipeline-based scans, and SonarQubeAutomate security scanning, including container scanning and OWASP ZAPAutomate analysis of licensing, vulnerabilities, and versioning of open-source components by using Mend Bolt and GitHub Dependency ScanningImplement an instrumentation strategy (10-15%)Configure monitoring for a DevOps environmentConfigure and integrate monitoring by using Azure MonitorConfigure and integrate with monitoring tools, such as Azure Monitor and Application InsightsManage access control to the monitoring platformConfigure alerts for pipeline eventsAnalyze metricsInspect distributed tracing by using Application InsightsInspect application performance indicatorsInspect infrastructure performance indicators, including CPU, memory, disk, and networkIdentify and monitor metrics for business valueAnalyze usage metrics by using Application InsightsInterrogate logs using basic Kusto Query Language (KQL) queriesIn addition to the extensive question bank, the AZ-400 practice exam offers performance tracking and analytics, enabling candidates to monitor their progress over time. Users can identify their strengths and weaknesses, allowing them to focus their study efforts on areas that require additional attention. The exam is accessible online, making it convenient for busy professionals to prepare at their own pace. With its user-friendly interface and robust content, the AZ-400: Microsoft DevOps Engineer Expert Certification Practice Exam is an invaluable tool for anyone looking to enhance their career prospects in the rapidly evolving field of DevOps.

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