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| Section | Weight | Objectives |
|---|---|---|
| Author and Maintain Workflows | 40% | - Workflow structure and YAML syntax
|
| Manage GitHub Actions for the Enterprise | 15% | - Enterprise governance and security
|
| Author and Maintain Actions | 25% | - Custom action development
|
| Consume Workflows | 20% | - GitHub API integration
|
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NEW QUESTION # 42
A workflow that had been working now stalls in a waiting state until failing. The workflow file process_ml.
yaml has not changed and contains jobs specifying runs-on: [gpu]. Which of the following steps would troubleshoot the issue?
(Each answer presents a complete solution. Choose two.)
Answer: C,D
Explanation:
A job using runs-on: [gpu] depends on an available runner matching that label. If the workflow previously succeeded but now remains waiting, the runner ' s availability, registration, connectivity, or label assignment should be investigated. GitHub stores self-hosted runner application diagnostic logs in the runner installation ' s _diag directory; Runner_ log files provide details about runner startup, connectivity, registration, and update activity, making option A useful. Checking the Set up job information from a previous successful run can also identify which runner previously accepted the job, providing a concrete target for investigation. Rotating GITHUB_TOKEN does not repair runner scheduling because job assignment does not depend on manually rotating that workflow token. GitHub-hosted usage limits are similarly unrelated to a custom gpu runner label.
Therefore, A and C are appropriate troubleshooting actions.
NEW QUESTION # 43
In which of the following scenarios should you use self-hosted runners? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.
Answer: B,C
Explanation:
Self-hosted runners are appropriate when GitHub-hosted runner limits or environment restrictions do not meet the workload requirement. GitHub-hosted runner jobs have a 6-hour job execution limit, while self-hosted runner jobs can run for up to 5 days, so jobs that must run longer than 6 hours require self-hosted runners. Self-hosted runners also let an organization control the machine, operating system, software, hardware, and network location. Therefore, if a workflow job needs to install or access software from the local network, a self-hosted runner is the correct choice. macOS and Windows runners are available as GitHub-hosted options, and GitHub Actions minutes apply to GitHub-hosted usage, not self-hosted runner execution.
NEW QUESTION # 44
While awaiting approval, how many days can a workflow be in the "Waiting" state before it automatically fails?
Answer: C
Explanation:
When a workflow job targets an environment that has required reviewers, the job enters a waiting state until it is approved or rejected. GitHub Actions does not allow that waiting state to remain indefinitely. If the job is not approved within the allowed period, the workflow fails automatically. The correct duration is 30 days, making option C correct. Options A, B, and D do not match the GitHub Actions environment approval behavior. This is important for deployment governance because required reviewers can block access to protected environments and environment secrets, but pending approvals still have a maximum lifetime. This exam topic aligns with protected environments, deployment approvals, required reviewers, and workflow execution control.
NEW QUESTION # 45
In GitHub Actions, how is the success or failure of a step determined by its exit code?
Answer: B
Explanation:
GitHub Actions evaluates each step by the exit status of the process it runs. The runner marks a step successful when the command finishes with an exit status of 0. If the command returns any other code then the step is marked as failed and the job may stop depending on your workflow configuration.
NEW QUESTION # 46
As a developer, you are designing a workflow and need to communicate with the runner machine to set environment variables, output values used by other actions, add debug messages to the output logs, and other tasks. Which of the following options should you use?
Answer: B
Explanation:
Workflow commands are special commands that allow you to interact with the runner, set environment variables, output values, add debug messages, and perform other tasks within the workflow. These commands are used to modify the environment or influence the behavior of the GitHub Actions runner.
NEW QUESTION # 47
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