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| Topic | Details | Weights |
|---|
| Develop an Instrumentation Strategy | - Design and implement logging- assess and Configure a log framework
- design a log aggregation and storage strategy (e.g., Azure storage)
- design a log aggregation and query strategy (e.g., Azure Monitor, Splunk)
- manage access control to logs (workspace-centric/resource-centric)
- integrate crash analytics (App Center Crashes, Crashlytics)
- Design and implement telemetry- design and implement distributed tracing
- inspect application performance indicators
- inspect infrastructure performance indicators
- define and measure key metrics (CPU, memory, disk, network)
- implement alerts on key metrics (email, SMS, webhooks, Teams/Slack)
- integrate user analytics (e.g., Application Insights funnels, Visual Studio App Center, TestFlight, Google Analytics)
- Integrate logging and monitoring solutions- configure and integrate container monitoring (Azure Monitor, Prometheus, etc.)
- configure and integrate with monitoring tools (Azure Monitor Application Insights, Dynatrace, New Relic, Naggios, Zabbix)
- create feedback loop from platform monitoring tools (e.g., Azure Diagnostics extension, Log Analytics agent, Azure Platform Logs, Event Grid)
- manage Access control to the monitoring platform
| 5-10% |
| Develop a Site Reliability Engineering (SRE) strategy | - Develop an actionable alerting strategy- identify and recommend metrics on which to base alerts
- implement alerts using appropriate metrics
- implement alerts based on appropriate log messages
- implement alerts based on application health checks
- analyze combinations of metrics
- develop communication mechanism to notify users of degraded systems
- implement alerts for self-healing activities (e.g., scaling, failovers)
- Design a failure prediction strategy- analyze behavior of system with regards to load and failure conditions
- calculate when a system will fail under various conditions
- measure baseline metrics for system
- Leverage Application Insights Smart Detection and Dynamic thresholds in Azure Monitor
- Design and implement a health check- analyze system dependencies to determine which dependency should be included in health check
- calculate healthy response timeouts based on SLO for the service
- design approach for partial health situations
- design approach for piecemeal recovery (e.g., to improve recovery time objective strategies)
- integrate health check with compute environment
- implement different types of health checks (container liveness, startup, shutdown)
| 5-10% |
| Manage source control | - Develop a modern source control strategy- integrate/migrate disparate source control systems (e.g., GitHub, Azure Repos)
- design authentication strategies
- design approach for managing large binary files (e.g., Git LFS)
- design approach for cross repository sharing (e.g., Git sub-modules, packages)
- implement workflow hooks
- design approach for efficient code reviews (e.g., GitHub code review assignments, schedule reminders, Pull Analytics)
- Plan and implement branching strategies for the source code - define Pull Requests (PR) guidelines to enforce work item correlation
- implement branch merging restrictions (e.g., branch policies, branch protections, manual, etc.)
- define branch strategy (e.g., trunk based, feature branch, release branch, GitHub flow)
- design and implement a PR workflow (code reviews, approvals)
- enforce static code analysis for code-quality consistency on PR
- Configure repositories- configure permissions in the source control repository
- organize the repository with git-tags
- plan for handling oversized repositories
- plan for content recovery in all repository states
- purge data from source control
- Integrate source control with tools - integrate GitHub with DevOps pipelines
- integrate GitHub with identity management solutions (Azure AD)
- design for GitOps
- design for ChatOps
- integrate source control artifacts for human consumption (e.g., Git changelog)
- integrate GitHub Codespaces
| 10-15% |
| Define and implement continuous integration | - Design build automation- integrate the build pipeline with external tools (e.g., Dependency and security scanning, Code coverage)
- implement quality gates (e.g., code coverage, internationalization, peer review)
- design a testing strategy (e.g., integration, load, fuzz, API, chaos)
- integrate multiple tools (e.g., GitHub Actions, Azure Pipeline, Jenkins)
- Design a package management strategy - recommend package management tools (e.g., GitHub Packages, Azure Artifacts, Azure Automation Runbooks Gallery, Nuget, Jfrog, Artifactory)
- design an Azure Artifacts implementation including linked feeds
- design versioning strategy for code assets (e.g., SemVer, date based)
- plan for assessing and updating and reporting package dependencies (GitHub Automated Security Updates, NuKeeper, GreenKeeper)
- design a versioning strategy for packages (e.g., SemVer, date based)
- design a versioning strategy for deployment artifacts
- Design an application infrastructure management strategy- assess a configuration management mechanism for application infrastructure
- define and enforce desired state configuration for environments
- Implement a build strategy - design and implement build agent infrastructure (include cost, tool selection, licenses, maintainability)
- develop and implement build trigger rules
- develop build pipelines
- design build orchestration (products that are composed of multiple builds)
- integrate configuration into build process
- develop complex build scenarios (e.g., containerized agents, hybrid, GPU)
- Maintain build strategy - monitor pipeline health (failure rate, duration, flaky tests)
- optimize build (cost, time, performance, reliability)
- analyze CI load to determine build agent configuration and capacity
- Design a process for standardizing builds across organization - manage self-hosted build agents (VM templates, containerization, etc.)
- create reuseable build subsystems (YAML templates, Task Groups, Variable Groups, etc.)
| 20-25% |
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The Designing and Implementing Microsoft DevOps Solutions certification exam consists of a combination of multiple-choice questions and performance-based scenarios that test the knowledge and skills of the candidates. AZ-400 Exam is challenging and requires a thorough understanding of DevOps practices and Microsoft Azure. However, passing the exam provides IT professionals with a valuable certification that demonstrates their expertise in DevOps and Microsoft Azure.
Microsoft Designing and Implementing Microsoft DevOps Solutions Sample Questions (Q117-Q122):
NEW QUESTION # 117
You need to increase the security of your team's development process.
Which type of security tool should you recommend for each stage of the development process? To answer, drag the appropriate security toots to the correct stages. Each security tool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
https://docs.microsoft.com/en-us/azure/devops/migrate/security-validation-cicd-pipeline?view=azure- devops&viewFallbackFrom=vsts So:
PR: Static Code Analysis
CI: Static Code Analysis
CD: PenTest
NEW QUESTION # 118
Which package feed access levels should be assigned to the Developers and Team Leaders groups for the investment planning applications suite? To answer, drag the appropriate access levels to the correct groups. Each access level may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION # 119
You are configuring the Azure DevOps dashboard. The solution must meet the technical requirements.
Which widget should you use for each metric? To answer, drag the appropriate widgets to the correct metrics. Each widget may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/devops/report/dashboards/widget-catalog?view=azure-devops
NEW QUESTION # 120
You are creating a container for an ASP.NET Core app.
You need to create a Dockerfile file to build the image. The solution must ensure that the size of the image is minimized.
How should you configure the file? To answer, drag the appropriate values to the correct targets. Each value must be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:

Box 1: microsoft.com/dotnet/sdk:2.3
The first group of lines declares from which base image we will use to build our container on top of. If the local system does not have this image already, then docker will automatically try and fetch it. The mcr.
microsoft.com/dotnet/core/sdk:2.1 comes packaged with the .NET core 2.1 SDK installed, so it's up to the task of building ASP .NET core projects targeting version 2.1 Box 2: dotnet restore The next instruction changes the working directory in our container to be /app, so all commands following this one execute under this context.
COPY *.csproj ./
RUN dotnet restore
Box 3: microsoft.com/dotnet/2.2-aspnetcore-runtime
When building container images, it's good practice to include only the production payload and its dependencies in the container image. We don't want the .NET core SDK included in our final image because we only need the .NET core runtime, so the dockerfile is written to use a temporary container that is packaged with the SDK called build-env to build the app.
Reference:
https://docs.microsoft.com/de-DE/virtualization/windowscontainers/quick-start/building-sample-app
NEW QUESTION # 121
You mc configuring Azure DevOps build pipelines.
You plan to use hosted build agents.
Which build agent pool should you use to compile each application type? To answer, drag the appropriate built agent pools to the correct application types. Each butt agent pool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Hosted macOS
Hosted macOS pool (Azure Pipelines only): Enables you to build and release on macOS without having to configure a self-hosted macOS agent. This option affects where your data is stored.
Box 2: Hosted
Hosted pool (Azure Pipelines only): The Hosted pool is the built-in pool that is a collection of Microsoft-hosted agents.
NEW QUESTION # 122
......
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