Overview

AZ-400: Microsoft DevOps Engineer Expert certification is a highly sought-after credential for professionals in the field of DevOps. This certification is designed to validate the skills and expertise of individuals who are proficient in implementing DevOps practices using Microsoft technologies. The AZ-400 exam is a comprehensive assessment that covers a wide range of topics related to DevOps, including continuous integration, continuous delivery, automation, monitoring, and collaboration.One of the key features of the AZ-400 certification is the comprehensive practice exam that is included as part of the preparation process. This practice exam is designed to simulate the actual exam experience and help candidates assess their readiness for the certification test. The practice exam covers all the topics that are included in the official AZ-400 exam blueprint, allowing candidates to familiarize themselves with the format and structure of the test.This practice exam also includes detailed explanations for each question, helping candidates understand the rationale behind the correct answers. This feedback is invaluable for candidates who are looking to improve their knowledge and skills in DevOps. By taking the practice exam, candidates can identify their strengths and weaknesses and focus their study efforts on areas where they need improvement.In addition to the practice exam, the AZ-400 certification also includes access to a variety of study materials and resources. These materials are designed to help candidates prepare for the exam and gain a deeper understanding of DevOps principles and practices. The study materials cover a wide range of topics, including version control, build automation, release management, and application monitoring.AZ-400 certification is recognized by industry professionals and employers as a mark of expertise in DevOps. Individuals who earn this certification are considered to be highly skilled and knowledgeable in implementing DevOps practices using Microsoft technologies. This credential can open up new career opportunities and enhance job prospects for professionals in the field of DevOps.In order to earn the AZ-400 certification, candidates must pass the official exam, which is administered by Microsoft. The exam consists of multiple-choice questions that test candidates' knowledge and understanding of DevOps principles and practices. Candidates must demonstrate their ability to apply these principles in real-world scenarios and solve complex problems using Microsoft technologies.Overall, the AZ-400: Microsoft DevOps Engineer Expert certification is a valuable credential for professionals who are looking to advance their careers in the field of DevOps. This certification is highly respected in the industry and can help individuals stand out in a competitive job market. By earning the AZ-400 certification, candidates can demonstrate their expertise in DevOps and enhance their professional reputation.AZ-400: Microsoft DevOps Engineer Expert certification is a comprehensive and valuable credential for professionals in the field of DevOps. This certification is highly respected in the industry and can help individuals advance their careers and achieve their professional goals. By earning the AZ-400 certification, candidates can demonstrate their expertise in DevOps and enhance their job prospects in a competitive market.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.Designing and Implementing Microsoft DevOps Solutions 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 conclusion, the AZ-400: Microsoft DevOps Engineer Expert certification is a comprehensive and valuable credential for professionals in the field of DevOps. This certification is highly respected in the industry and can help individuals advance their careers and achieve their professional goals. By earning the AZ-400 certification, candidates can demonstrate their expertise in DevOps and enhance their job prospects in a competitive market.

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