AZ-400 Practice Guide, AZ-400 Real Brain Dumps

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Microsoft AZ-400 Exam Syllabus Topics:

SectionWeightObjectives
Implement application infrastructure15–20%- Containerization
  • 1. Docker image workflows
    • 2. Azure Kubernetes Service (AKS)
      - Infrastructure provisioning
      • 1. Terraform integration with Azure
        • 2. ARM templates and Bicep
          Develop a DevOps strategy20–25%- Plan for DevOps
          • 1. Define quality strategy and shift-left practices
            • 2. Define team structures and DevOps responsibilities
              - Select appropriate tools and processes
              • 1. Source control strategies (Git, GitHub, Azure Repos)
                • 2. Work item tracking and Agile practices
                  Implement CI using Azure Pipelines20–25%- Design build automation
                  • 1. Build agents and self-hosted agents
                    • 2. YAML pipelines configuration
                      - Implement build strategies
                      • 1. Artifact management
                        • 2. Continuous integration triggers
                          Implement dependency management10–15%- Package management
                          • 1. Azure Artifacts feeds
                            • 2. NuGet, npm, Maven package strategies
                              Implement continuous feedback10–15%- Monitoring and telemetry
                              • 1. Azure Monitor and Application Insights
                                • 2. Log Analytics and dashboards
                                  - System feedback loops
                                  • 1. Post-deployment validation
                                    • 2. Alerting and incident response
                                      Implement CD using Azure Pipelines10–15%- Release strategies
                                      • 1. Blue-green deployments
                                        • 2. Canary deployments
                                          - Deployment automation
                                          • 1. Infrastructure as Code (ARM templates, Bicep, Terraform)
                                            • 2. Multi-stage pipelines

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                                              Microsoft Designing and Implementing Microsoft DevOps Solutions Sample Questions (Q597-Q602):

                                              NEW QUESTION # 597
                                              Your company hosts a web application in Azure, and makes use of Azure Pipelines for managing the build and release of the application.
                                              When stakeholders report that system performance has been adversely affected by the most recent releases, you configure alerts in Azure Monitor.
                                              You are informed that new releases must satisfy specified performance baseline conditions in the staging environment before they can be deployed to production.
                                              You need to make sure that releases not satisfying the performance baseline are prevented from being deployed.
                                              Which of the following actions should you take?

                                              Answer: B

                                              Explanation:
                                              Scenarios and use cases for gates include:
                                              Quality validation. Query metrics from tests on the build artifacts such as pass rate or code coverage and deploy only if they are within required thresholds.
                                              Use Quality Gates to integrate monitoring into your pre-deployment or post-deployment. This ensures that you are meeting the key health/performance metrics (KPIs) as your applications move from dev to production and any differences in the infrastructure environment or scale is not negatively impacting your KPIs.
                                              Note: Gates allow automatic collection of health signals from external services, and then promote the release when all the signals are successful at the same time or stop the deployment on timeout. Typically, gates are used in connection with incident management, problem management, change management, monitoring, and external approval systems.
                                              Reference:
                                              https://docs.microsoft.com/en-us/azure/azure-monitor/continuous-monitoring
                                              https://docs.microsoft.com/en-us/azure/devops/pipelines/release/approvals/gates?view=azure- devops


                                              NEW QUESTION # 598
                                              You have an Azure web app named webapp1 that uses the .NET Core runtime slack. You have an Azure Application insights resource named Applnsights1 that collects telemetry data generated by webapp1 You plan to deploy webapp1 by using an Azure DevOps pipeline.
                                              You need to modify the sampling rate of the telemetry data processed by Applnsights1 without having to redeploy webapp1 after each modification.
                                              What should you do? To answer, select the appropriate options in the answer area.
                                              NOTE: Each correct selection is worth one point.

                                              Answer:

                                              Explanation:


                                              NEW QUESTION # 599
                                              You have a GitHub repository.
                                              You create a new repository in Azure DevOps.
                                              You need to recommend a procedure to clone the repository from GitHub to Azure DevOps.
                                              What should you recommend?

                                              Answer: B

                                              Explanation:
                                              You can import an existing Git repo from GitHub, Bitbucket, GitLab, or other location into a new or empty existing repo in your project in Azure DevOps.
                                              Import into a new repo
                                              Select Repos, Files.
                                              From the repo drop-down, select Import repository.
                                              If the source repo is publicly available, just enter the clone URL of the source repository and a name for your new Git repository.
                                              Reference:
                                              https://docs.microsoft.com/en-us/azure/devops/repos/git/import-git-repository?view=azure-devops


                                              NEW QUESTION # 600
                                              Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
                                              After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
                                              Your company has a project in Azure DevOps for a new web application.
                                              You need to ensure that when code is checked in, a build runs automatically.
                                              Solution: From the Pre-deployment conditions settings of the release pipeline, you select After stage.
                                              Does this meet the goal?

                                              Answer: B

                                              Explanation:
                                              Explanation
                                              Use a Pull request trigger.
                                              References: https://docs.microsoft.com/en-us/azure/devops/pipelines/build/triggers


                                              NEW QUESTION # 601
                                              You are designing a build pipeline in Azure Pipelines.
                                              The pipeline requires a self-hosted agent. The build pipeline will run once daily and will take 30 minutes to complete.
                                              You need to recommend a compute type for the agent. The solution must minimize costs.
                                              What should you recommend?

                                              Answer: B

                                              Explanation:
                                              If your pipelines are in Azure Pipelines, then you've got a convenient option to run your jobs using a Microsoft-hosted agent. With Microsoft-hosted agents, maintenance and upgrades are taken care of for you. Each time you run a pipeline, you get a fresh virtual machine. The virtual machine is discarded after one use. Microsoft-hosted agents can run jobs directly on the VM or in a container.
                                              Note: You can try a Microsoft-hosted agent for no charge.
                                              Reference:
                                              https://docs.microsoft.com/en-us/azure/devops/pipelines/agents/hosted


                                              NEW QUESTION # 602
                                              ......

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