AZ-400: Microsoft Azure DevOps Engineer Expert Practice Test

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Go to Course: https://www.udemy.com/course/az-400-microsoft-azure-devops-engineer-expert-practice-exam/

Overview

Microsoft DevOps engineering! As technology continues to evolve at an unprecedented pace, organizations are seeking professionals who can effectively manage the development and operations of their software systems. The AZ-400: Microsoft DevOps Engineer Expert Comprehensive Practice Exam is designed to equip you with the necessary skills and knowledge to excel in this rapidly growing field.This comprehensive practice exam is meticulously crafted to simulate the real-world scenarios that a Microsoft DevOps Engineer Expert may encounter. It covers a wide range of topics, including but not limited to continuous integration and delivery, infrastructure as code, security, compliance, and monitoring. By immersing yourself in this practice exam, you will gain a deep understanding of the core concepts and best practices that are essential for success in the industry.AZ-400: Microsoft DevOps Engineer Expert Comprehensive Practice Exam is structured to provide you with a challenging yet rewarding learning experience. this practice exam offers a comprehensive overview of the skills and knowledge required to pass the official AZ-400 exam. Each question is designed to test your understanding of the subject matter and assess your ability to apply your knowledge in real-world scenarios.What sets this practice exam apart is its focus on the formal tone and structure that mirrors the official Microsoft certification exams. By practicing with this exam, you will become familiar with the format, style, and level of difficulty of the actual AZ-400 exam. This will not only boost your confidence but also enhance your time management skills, allowing you to effectively navigate through the exam within the given time constraints.In addition to the extensive content, the AZ-400: Microsoft DevOps Engineer Expert Comprehensive Practice Exam also provides detailed explanations and references for each question. This ensures that you not only understand the correct answers but also comprehend the underlying principles and concepts. The explanations are written in a clear and concise manner, making it easy for you to grasp even the most complex topics.Furthermore, this practice exam includes a variety of question types, such as multiple-choice, scenario-based, and interactive questions. This diverse range of question formats will help you develop a well-rounded understanding of the subject matter and prepare you for any surprises that may arise during the official exam.Whether you are a seasoned professional looking to validate your skills or a newcomer aspiring to enter the world of Microsoft DevOps engineering, the AZ-400: Microsoft DevOps Engineer Expert Comprehensive Practice Exam is an invaluable resource. It will not only help you pass the AZ-400 exam with flying colors but also equip you with the practical skills and knowledge necessary to excel in your DevOps engineering career.Designing and Implementing Microsoft DevOps Solutions 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) queriesInvest in your professional growth and unlock new opportunities in the ever-evolving field of DevOps engineering. Get your hands on the AZ-400: Microsoft DevOps Engineer Expert Comprehensive Practice Exam today and take the first step towards becoming a certified Microsoft DevOps Engineer Expert

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