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所在平台: Udemy |
课程主页: https://www.udemy.com/course/az-400-designing-and-implementing-microsoft-devops-solution-a/
课程评论:没有评论
课程名称:AZ-400:设计和实施 Microsoft DevOps 解决方案 概述:在当今日益互联和数字化的世界中,IT专业人员对DevOps技术和解决方案的深入理解变得至关重要。Microsoft Azure是当前需求最高、使用最广泛的平台之一,其中Azure DevOps处于基于云的DevOps解决方案的前沿。本次实践测试旨在帮助学生提升和巩固在AZ-400 "设计和实施 Microsoft DevOps 解决方案"课程中的技能,特别关注五个关键领域:配置流程和沟通、设计和实施源代码管理、构建和发布管道、制定安全和合规计划、实施仪器策略。 每个部分都包含情境问题、模拟和多项选择测试,挑战学生将知识应用于实践问题解决中。考生将受益于有价值的见解和反馈,而希望提高DevOps知识的学生将获得扎实的基础。该实践测试不仅提供关键的考试技巧,还包括详细的解释、反馈和参考资料,使学生对DevOps原则和最佳实践有更深刻的理解。 测评内容包括: - 设计和实施流程与沟通(10-15%) - 设计和实施源代码管理策略(10-15%) - 设计和实施构建和发布管道(50-55%) - 制定安全和合规计划(10-15%) - 实施仪器策略(5-10%) 课程以真实场景和实践应用为重点,是想要掌握DevOps技术和方法的专业人士的优秀资源。课程为自定进度,允许学生以自己的节奏学习,并随时随地访问材料。加入有才华的学生和讲师社区,获得广泛的经验、学科专业知识和网络机会,今天就登记并向掌握AZ-400 DevOps解决方案迈出重要一步!
In an increasingly interconnected and digitized world, a fluent understanding of DevOps techniques and solutions has become paramount for IT professionals. Microsoft Azure is one of the most in-demand and widely used platforms today, with Azure DevOps being at the forefront of cloud-based DevOps solutions. This practice test is designed to help students gain and sharpen their skills in the AZ-400 Designing and Implementing Microsoft DevOps Solutions, specifically addressing five critical areas: configuring processes and communications; designing and implementing source control; building and release pipelines; developing security and compliance plans; and implementing an instrumentation strategy.Each section of the test includes a set of scenario-based questions, simulations, and multiple-choice tests that challenge students to apply their knowledge and practical problem-solving skills. Exam candidates will benefit from valuable insights and feedback on their exam readiness, while those seeking to increase their DevOps knowledge will gain a solid foundation in the content.In addition to providing critical test-taking skills, this practice test includes detailed explanations, feedback, and references that give students a deeper understanding of DevOps principles and best practices. At the end of the test, students will come away with a better understanding of their strengths and weaknesses, better problem-solving skills, and more confidence in their ability to master AZ-400 DevOps solutions.Skills measured on Microsoft AZ-400 ExamDesign and implement processes and communications (10-15%)Design and implement a source control strategy (10-15%)Design and implement build and release pipelines (50-55%)Develop a security and compliance plan (10-15%)Implement an instrumentation strategy (5-10%)Design and implement processes and communications (10-15%)Design and implement traceability and flow of workDesign and implement a structure for the flow of work, including GitHub FlowDesign and implement a strategy for feedback cycles, including notifications and issuesDesign and implement integration for tracking work, including GitHub projects, Azure Boards, and repositoriesDesign and implement source, bug, and quality traceabilityDesign and implement appropriate metrics and queries for DevOpsDesign and implement a dashboard, including flow of work, such as cycle times, time to recovery, and lead timeDesign and implement appropriate metrics and queries for project planningDesign and implement appropriate metrics and queries for developmentDesign and implement appropriate metrics and queries for testingDesign and implement appropriate metrics and queries for securityDesign and implement appropriate metrics and queries for deliveryDesign and implement appropriate metrics and queries for operationsConfigure collaboration and communicationDocument a project by configuring wikis and process diagrams, including Markdown and Mermaid syntaxConfigure release documentation, including release notes and API documentationAutomate creation of documentation from Git historyConfigure integration by using webhooksConfigure integration between GitHub or Azure DevOps and Microsoft TeamsDesign and implement a source control strategy (10-15%)Design 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 repositoriesDesign and implement a strategy for managing large files, including Git Large File Storage (LFS) and git-fatDesign a strategy for scaling and optimizing a Git repository, including Scalar and cross-repository sharingConfigure permissions in the source control repositoryConfigure tags to organize the source control repositoryRecover specific data by using Git commandsRemove specific data from source controlDesign and implement build and release pipelines (50-55%)Design and implement a package management strategyRecommend package management tools including GitHub Packages registry and Azure ArtifactsDesign and implement package feeds and views for local and upstream packagesDesign 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 a testing strategy for pipelinesDesign and implement quality and release gates, including security and governanceDesign a comprehensive testing strategy, including local tests, unit tests, integration tests, and load testsImplement tests in a pipeline, including configuring test tasks, configuring test agents, and integration of test resultsImplement code coverage analysisDesign and implement pipelinesSelect a deployment automation solution, including GitHub Actions and Azure PipelinesDesign and implement a GitHub runner or Azure DevOps agent infrastructure, including cost, tool selection, licenses, connectivity, and maintainabilityDesign and implement integration between GitHub repositories and Azure PipelinesDevelop and implement pipeline trigger rulesDevelop pipelines by using YAMLDesign and implement a strategy for job execution order, including parallelism and multi-stage pipelinesDevelop and implement complex pipeline scenarios, such as hybrid pipelines, VM templates, and self-hosted runners or agentsCreate 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 that dependency deployments are reliably orderedPlan for minimizing downtime during deployments by using virtual IP address (VIP) swap, load balancing, rolling deployments, and deployment slotsDesign a hotfix path plan for responding to high-priority code fixesDesign and implement a resiliency strategy for deploymentImplement feature flags by using Azure App Configuration Feature ManagerImplement application deployment by using containers, binaries, and scriptsImplement a deployment that includes database tasksDesign and implement infrastructure as code (IaC)Recommend a configuration management technology for application infrastructureImplement a configuration management strategy for application infrastructureDefine 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 ConfigurationDesign and implement Azure Deployment Environments for on-demand self-deploymentMaintain pipelinesMonitor pipeline health, including failure rate, duration, and flaky testsOptimize a pipeline for cost, time, performance, and reliabilityOptimize pipeline concurrency for performance and costDesign and implement a retention strategy for pipeline artifacts and dependenciesMigrate a pipeline from classic to YAML in Azure PipelinesDevelop a security and compliance plan (10-15%)Design and implement authentication and authorization methodsChoose between Service Principals and Managed IdentityImplement and manage GitHub authentication, including GitHub Apps, GITHUB_TOKEN, and personal access tokensImplement and manage Azure DevOps service connections and personal access tokensDesign and implement permissions and roles in GitHubDesign and implement permissions and security groups in Azure DevOpsRecommend appropriate access levels, including stakeholder access in Azure DevOps and outside collaborator access in GitHubConfigure projects and teams in Azure DevOpsDesign and implement a strategy for managing sensitive information in automationImplement and manage secrets, keys, and certificates by using Azure Key VaultImplement and manage secrets in GitHub Actions and Azure PipelinesDesign and implement a strategy for managing sensitive files during deployment, including Azure Pipelines secure filesDesign pipelines to prevent leakage of sensitive informationAutomate security and compliance scanningDesign a strategy for security and compliance scanning, including dependency, code, secret, and licensing scanningConfigure Microsoft Defender for Cloud DevOps SecurityConfigure GitHub Advanced Security for both GitHub and Azure DevOpsIntegrate GitHub Advanced Security with Microsoft Defender for CloudAutomate container scanning, including scanning container images and configuring an action to run CodeQL analysis in a containerAutomate analysis of licensing, vulnerabilities, and versioning of open-source components by using Dependabot alertsImplement an instrumentation strategy (5-10%)Configure monitoring for a DevOps environmentConfigure Azure Monitor and Log Analytics to integrate with DevOps toolsConfigure collection of telemetry by using Application Insights, VM Insights, Container Insights, Storage Insights, and Network InsightsConfigure monitoring in GitHub, including enabling insights and creating and configuring chartsConfigure alerts for events in GitHub Actions and Azure PipelinesAnalyze metrics from instrumentationInspect infrastructure performance indicators, including CPU, memory, disk, and networkAnalyze metrics by using collected telemetry, including usage and application performanceInspect distributed tracing by using Application InsightsInterrogate logs using basic Kusto Query Language (KQL) queriesWith its focus on real-world scenarios and hands-on application, this test is also an excellent resource for professionals wanting to master DevOps techniques and methodologies. The course is self-paced, allowing students to work through the content at their own pace and access the materials conveniently from anywhere in the world. And with a talented community of students and instructors, learners have access to a broad range of experiences, disciplinary expertise, and networking opportunities. Enroll today and take a significant step towards mastering AZ-400 DevOps Solutions!