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Microsoft GH-200 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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.
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.

Microsoft GitHub Actions Sample Questions (Q17-Q22):

NEW QUESTION # 17
Which workflow event is used to manually trigger a workflow run?

Answer: C

Explanation:
Manually running a workflow
When a workflow is configured to run on the workflow_dispatch event, you can run the workflow using the Actions tab on GitHub, GitHub CLI, or the REST API.
Configuring a workflow to run manually
To run a workflow manually, the workflow must be configured to run on the workflow_dispatch event.
To trigger the workflow_dispatch event, your workflow must be in the default branch.
Reference:
https://docs.github.com/en/actions/how-tos/manage-workflow-runs/manually-run-a-workflow


NEW QUESTION # 18
You have exactly one Windows x64 self-hosted runner, and it is configured with custom tools. Which syntax could you use in the workflow to target that runner?

Answer: D

Explanation:
The runs-on keyword allows you to specify the operating system and other labels for the runner. By specifying self-hosted, windows, and x64, you are targeting a self-hosted Windows runner that matches these criteria, which aligns with the custom configuration of your self-hosted runner.


NEW QUESTION # 19
As a developer, you have a 10-MB data set that is required in a specific workflow.
Which three steps should you perform so the dataset is stored encrypted and can be decrypted during the workflow? Each correct answer presents part of the solution.
NOTE: Each correct answer is worth one point.

Answer: A,B,F

Explanation:
To handle a 10 MB dataset securely in GitHub Actions, you should use GitHub Actions Secrets for the key and a symmetric encryption tool (like GPG or OpenSSL) for the file.
Follow these steps:
[B] 1. Encrypt the Dataset Locally
Since GitHub Actions secrets have a size limit of 48 KB, you cannot store a 20 MB dataset directly as a secret. Instead, encrypt the file locally using GPG before committing it.
[A] 2. Store the Encryption Key in GitHub
Store the passphrase you just created as a GitHub Actions Secret so the workflow can access it securely without exposing it in the code.
[G] 3. Commit the Encrypted Dataset
Now, add only the encrypted version of your data to your repository.
Add the encrypted file: git add large_dataset.csv.gpg
Important: Ensure the original unencrypted large_dataset.csv is added to your .gitignore so it is never committed.
Commit and push the encrypted file to your repository.
4. Decrypt the Dataset in the Workflow
In your GitHub Actions workflow file (e.g., .github/workflows/main.yml), add a step to decrypt the file using the secret passphrase.
Incorrect:
[Not D]
Since GitHub Secrets have a size limit (64 KB), you cannot store the dataset itself as a secret.
Reference:
https://docs.github.com/en/[email protected]/actions/how-tos/write-workflows/choose-what- workflows-do/use-secrets


NEW QUESTION # 20
In which scenarios could the GITHUB_TOKEN be used? (Choose two.)

Answer: A,D

Explanation:
The GITHUB_TOKEN is automatically provided by GitHub in workflows and can be used to authenticate API requests to GitHub, including publishing packages to GitHub Packages.
The GITHUB_TOKEN is also used to authenticate API requests for actions like creating issues, commenting, or interacting with pull requests within the same repository.


NEW QUESTION # 21
Scheduled workflows run on the:

Answer: A

Explanation:
Scheduled workflows run on the latest commit on the default branch.
Note: The default branch is also the initial branch that Git checks out locally when someone clones the repository. Unless you specify a different branch, the default branch in a repository is the base branch for new pull requests and code commits.
Reference:
https://docs.github.com/en/actions/reference/workflows-and-actions/workflow-syntax
https://docs.github.com/articles/about-branches


NEW QUESTION # 22
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