Free PDF Quiz Microsoft - GH-200 - GitHub Actions Newest Braindumps Pdf

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Microsoft GH-200 Exam Syllabus Topics:

Topic	Details
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	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.
Topic 4	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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Microsoft GitHub Actions Sample Questions (Q62-Q67):

NEW QUESTION # 62
Which statement accurately describes using labels to route GitHub Actions workflows to runners?

A. A user can assign multiple labels to a self-hosted runner and use the labels in a runs-on to target only runners that match all the specified labels.
B. To target a specific runner, the runs-on must match the runner's hostname rather than its labels.
C. GitHub Actions automatically assigns the runner's IP address as a label, and the label must be used in a runs-on.
D. Labels apply only to GitHub-hosted runners and are ignored by self-hosted runners.

Answer: A

Explanation:
Self-hosted runners can have default labels and custom labels. These labels are used in the runs-on field to route workflow jobs to runners that match the required criteria. When multiple labels are specified, the runner must match all listed labels before GitHub Actions can assign the job to that runner. Therefore, option A is correct. Option B is false because labels are especially important for self-hosted runners. Option C is incorrect because GitHub does not require the runner IP address as a routing label. Option D is also incorrect because workflows target runners by labels or runner groups, not by hostname. This topic validates runner selection, self-hosted runner configuration, and workflow job routing.

NEW QUESTION # 63
As a developer, you have a 10-MB data set that is required in a specific workflow. Which steps should you perform so the dataset is stored encrypted and can be decrypted during the workflow? (Choose three.)

A. Encrypt the dataset.
B. Leverage the actions/download-secret action in the workflow.
C. Create a GitHub encrypted secret with the Large object option selected and upload the dataset.
D. Store the encryption keys in a GitHub encrypted secret.
E. Compress the dataset
F. Commit the encrypted dataset to the same repository as the workflow
G. Store the dataset in a GitHub encrypted secret.

Answer: A,D,G

Explanation:
First, the dataset should be encrypted before being stored. This ensures that the data is protected when stored in a repository.
The encrypted dataset can be stored in a GitHub secret, ensuring it is securely kept and not exposed publicly.
The encryption key needed to decrypt the dataset should also be stored in a GitHub secret to maintain security during the workflow, allowing access only when needed.

NEW QUESTION # 64
When creating and managing custom actions in an enterprise setting, which of the following is considered a best practice?

A. creating a single repository for all custom actions so that the versions for each action are all the same
B. including custom actions that other teams need to reference in the same repository as application code
C. creating a separate branch in application repositories that only contains the actions
D. creating a separate repository for each action so that the version can be managed independently

Answer: D

Explanation:
Managing custom actions
Choosing a location for your action
If you're developing an action for other people to use, we recommend keeping the action in its own repository instead of bundling it with other application code. This allows you to version, track, and release the action just like any other software.
Creating a separate repository for each custom action allows you to manage the versioning independently for each action. This approach provides flexibility, as each action can be updated, tested, and versioned separately, avoiding potential conflicts or dependencies between different actions.
Reference:
https://docs.github.com/en/actions/how-tos/create-and-publish-actions/manage-custom-actions

NEW QUESTION # 65
When should you use the GITHUB_TOKEN in a workflow?

A. when you want to access repository-level secrets
B. when you want to connect to the runner via SSH
C. when you want to call an action from the marketplace
D. when you want to make authenticated calls to the GitHub API

Answer: D

Explanation:
Use GITHUB_TOKEN for authentication in workflows
At the start of each workflow job, GitHub automatically creates a unique GITHUB_TOKEN secret to use in your workflow. You can use the GITHUB_TOKEN to authenticate in the workflow job.
Reference:
https://docs.github.com/en/actions/tutorials/authenticate-with-github_token

NEW QUESTION # 66
How can a workflow deploy mitigate the risk of multiple workflow runs that are deploying to a single cloud environment simultaneously? (Each correct answer presents part of the solution.
Choose two.)

A. Specify a target environment in the deploymentjob.
B. Configure the mutex setting in the environment.
C. Set the concurrency in the deploymentjob to 1.
D. Pass the mutex into the deployment job.
E. Specify a concurrency scope in the workflow.
F. Reference the mutex in the task performing the deployment.

Answer: A,E

Explanation:
[D] GitHub Actions now supports a concurrency key at both the workflow and job level that will ensure that only a single run or job is in progress.
concurrency
Use concurrency to ensure that only a single job or workflow using the same concurrency group will run at a time.
Example: Using concurrency and the default behavior
The default behavior of GitHub Actions is to allow multiple jobs or workflow runs to run concurrently. The concurrency keyword allows you to control the concurrency of workflow runs.
Reference:
https://github.blog/changelog/2021-04-19-github-actions-limit-workflow-run-or-job-concurrency/
https://docs.github.com/en/actions/reference/workflows-and-actions/workflow-syntax#concurrency
https://github.com/marketplace/actions/actions-mutex

NEW QUESTION # 67
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