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| Topic 1 |
- Consume Workflows: This domain targets Software Developers and Quality Assurance Engineers and focuses on interpreting workflow runs and their outcomes. It covers identifying triggering events, reading workflow configurations, troubleshooting failures by analyzing logs, enabling debug logging, managing environment variables, caching dependencies, and passing data between jobs. Candidates also manage workflow runs, artifacts, approvals, and status badges, as well as locating workflows within repositories and leveraging organizational templated workflows.
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| Topic 2 |
- Author and Maintain Workflows: This section of the exam measures skills of DevOps Engineers and Automation Specialists and covers building and managing workflows triggered by events such as pushes, scheduled times, manual triggers, and webhooks. It includes understanding workflow components like jobs, steps, actions, and runners, syntax correctness, environment variables, secrets management, and dependencies between jobs. Candidates will also demonstrate practical abilities to create workflows for various purposes, including publishing packages, using service containers, routing jobs, and deploying releases to cloud providers.
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| Topic 3 |
- Author and Maintain Actions: This domain evaluates the abilities of Action Developers and Automation Engineers to select and create suitable types of GitHub Actions, such as JavaScript, Docker containers, or run steps. It emphasizes troubleshooting action code, understanding the components and file structures of actions, and using workflow commands within actions to communicate with runners, including exit code management.
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| Topic 4 |
- Manage GitHub Actions in the Enterprise: This section measures the expertise of Enterprise Administrators and Platform Engineers in distributing and managing GitHub Actions and workflows at the organizational level. It includes reuse and sharing of templates, strategies for managing reusable components via repositories and naming conventions, controlling access to actions, setting organization-wide usage policies, and planning maintenance to ensure efficient enterprise-wide deployment of GitHub Actions.
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Microsoft GitHub Actions Sample Questions (Q82-Q87):
NEW QUESTION # 82
Your organization needs to simplify reusing and maintaining automation in your GitHub Enterprise Cloud. Which components can be directly reused across all repositories in an organization? (Choose three.)
- A. encrypted secrets
- B. actions stored in an organizational partition in the GitHub Marketplace
- C. workflow templates
- D. self-hosted runners
- E. custom Docker actions stored in GitHub Container Registry
- F. actions stored m private repositories in the organization
Answer: A,C,F
Explanation:
Actions stored in private repositories within the organization can be reused across all repositories by referencing them in workflows. This ensures a centralized way of maintaining custom actions.
Encrypted secrets can be accessed across repositories in the same organization, making it easy to store sensitive data (like API keys or tokens) securely while allowing multiple workflows to access them.
Workflow templates allow you to create reusable templates for workflows that can be shared across repositories within the organization. This makes it easier to standardize processes and automate them across multiple projects.
NEW QUESTION # 83
Your organization needs to simplify reusing and maintaining automation in your GitHub Enterprise Cloud. Which components can be directly reused across all repositories in an organization?
(Each correct answer presents a complete solution. Choose three.)
- A. encrypted secrets
- B. actions stored in an organizational partition in the GitHub Marketplace
- C. actions stored in private repositories in the organization
- D. workflow templates
- E. self-hosted runners
- F. custom Docker actions stored in GitHub Container Registry
Answer: A,C,D
Explanation:
[D] Encrypted secrets can be accessed across repositories in the same organization, making it easy to store sensitive data (like API keys or tokens) securely while allowing multiple workflows to access them.
[E] Workflow templates allow you to create reusable templates for workflows that can be shared across repositories within the organization. This makes it easier to standardize processes and automate them across multiple projects.
[F] Actions stored in private repositories within the organization can be reused across all repositories by referencing them in workflows. This ensures a centralized way of maintaining custom actions.
Reference:
https://docs.github.com/en/actions/how-tos/reuse-automations/reuse-workflows
NEW QUESTION # 84
What are the two ways to pass data between jobs? (Each correct answer presents part of the solution. Choose two.)
- A. Use data storage.
- B. Use the copy action to save the data that should be passed in the artifacts folder.
- C. Use artifact storage.
- D. Use the copy action with restore parameter to restore the data from the cache.
- E. Use the copy action with cache parameter to cache the data.
- F. Use job outputs.
Answer: C,F
Explanation:
Passing information between jobs
[D] Store and share data with workflow artifacts
Use artifacts to share data between jobs in a workflow and store data once that workflow has completed.
[E] You can define outputs to pass information from one job to another.
Reference:
https://docs.github.com/en/actions/tutorials/store-and-share-data
https://docs.github.com/en/actions/how-tos/write-workflows/choose-what-workflows-do/pass-job- outputs
NEW QUESTION # 85
Which of the following scenarios would require the use of self-hosted runners instead of GitHub- hosted runners?
- A. running more than the three concurrent workflows supported by GitHub-hosted runners
- B. exceeding 50,000 monthly minutes of build time
- C. using specialized hardware configurations required for workflows
- D. using Docker containers as part of the workflow
- E. performing builds on macOS
Answer: C
Explanation:
The use of self-hosted runners is required when your workflows depend on specialized hardware configurations that are not available through standard GitHub-hosted runners. While GitHub offers "larger runners" with GPU support for certain paid plans, self-hosted runners provide the most flexibility for highly specific or proprietary hardware needs.
Scenarios Requiring Specialized Hardware
Specific GPU Models: Workflows for AI/ML training or intensive graphics rendering that require specific NVIDIA or other specialized GPU architectures.
Alternative CPU Architectures: When you must build or test on specific ARM processors, legacy x86 32-bit systems, or other non-standard architectures not supported by GitHub's managed pool.
High-Resource Requirements: Tasks needing massive amounts of RAM (beyond 256 GB) or high-core counts for extreme parallel processing.
Custom Peripherals: Workflows that need physical access to hardware connected via USB, PCIe, or other local interfaces (e.g., embedded systems testing or hardware-in-the-loop).
Reference:
https://docs.github.com/en/actions/how-tos/manage-runners/self-hosted-runners/use-in-a- workflow
NEW QUESTION # 86
Based on the YAML below, which two statements are correct? (Choose two.)

- A. This workflow file is using a matrix strategy.
- B. The workflow job publish-npm will only run after the build job passes.
- C. This workflow will publish a package to an npm registry.
- D. This workflow will publish a package to GitHub Packages.
Answer: B,C
Explanation:
The publish-npm job includes the JS-DevTools/npm-publish action, which is used to publish an npm package to an npm registry.
The publish-npm job has the needs: build directive, meaning it will only run after the build job successfully completes.
NEW QUESTION # 87
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