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NEW QUESTION # 101
Which YAML snippet triggers a GitHub Actions workflow for both push and pull request events?
Answer: D
Explanation:
To trigger a GitHub Actions workflow on both push and pull request events, use the on key with a list of the events:
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
Key Details:
Events: You can list multiple events under on. This setup ensures the workflow runs whenever code is pushed to main or when a PR is opened/updated against main.
Activity Types: By default, pull_request triggers on opened, reopened, and synchronize (new commits to the PR).
Filtering: You can further refine these triggers by adding specific paths, tags, or different branches to avoid unnecessary runs Incorrect:
[Not A]
The push event is for the dev branch only.
[Not B]
Has only the push event.
[Not C]
Has only the push event.
Reference:
https://blog.devops.dev/automate-your-workflow-a-guide-to-ci-cd-with-github-actions-3f395d60ba69
NEW QUESTION # 102
What are the two ways to pass data between jobs? (Choose two.)
Answer: C,D
Explanation:
Job outputs are used to pass data from one job to another in a workflow. A job can produce output values (like variables or files), which can be referenced by subsequent jobs using the needs keyword and ${{ steps.step_id.outputs.output_name }} syntax.
Artifact storage allows data (such as files or results) to be saved by a job and then retrieved by another job in a later step. This is commonly used for passing large amounts of data or files between jobs.
NEW QUESTION # 103
You are reaching your organization's storage limit for GitHub artifacts and packages. What should you do to prevent the storage limit from being reached? (Each correct answer presents a complete solution. Choose two.)
Answer:
Explanation:
B.C
Explanation:
[E] To bypass GitHub's limit of 100 MB you can use Git Large File Storage (Git LFS). It stores references to your file in the repo by creating a pointer file. However, the actual file is going to be stored at a different location.
[C] Configuring the retention period for GitHub Actions artifacts and logs in your organization You can configure the retention period for GitHub Actions artifacts and logs in your organization.
By default, the artifacts and log files generated by workflows are retained for 90 days before they are automatically deleted. You can adjust the retention period, depending on the type of repository:
For public repositories: you can change this retention period to anywhere between 1 day or 90 days.
For private repositories: you can change this retention period to anywhere between 1 day or 400 days.
When you customize the retention period, it only applies to new artifacts and log files, and does not retroactively apply to existing objects. For managed repositories and organizations, the maximum retention period cannot exceed the limit set by the managing organization or enterprise.
Reference:
https://gitprotect.io/blog/github-storage-limits/
https://docs.github.com/en/organizations/managing-organization-settings/configuring-the- retention-period-for-github-actions-artifacts-and-logs-in-your-organization
NEW QUESTION # 104
In the following workflow file, line 5 interprets lines 3 and 4 as Python. Which of the following is a valid option to complete line 5?
1 steps:
2 - run: |
3 import os
4 print(os.environ[ ' PATH ' ])
5
Answer: C
Explanation:
The run keyword executes commands using the default shell unless a different shell is specified. Since the commands shown are Python statements, the step must define shell: python so GitHub Actions interprets the script using Python instead of Bash, PowerShell, or another default shell. Option D is therefore correct.
Option A is invalid because with: is used to pass inputs to actions, not to define the interpreter for a run command. Option B would execute the text as Bash and fail because import os is not Bash syntax. Option C only changes the working directory and does not change the shell. This exam topic checks workflow syntax, shell selection, and step-level command execution.
NEW QUESTION # 105
Which of the following scenarios requires a developer to explicitly use the GITHUB_TOKEN or github.token secret within a workflow? (Choose two.)
Answer: A,D
Explanation:
[A] Some actions may require a GITHUB_TOKEN as an input to authenticate and perform specific tasks, such as creating issues, commenting on pull requests, or interacting with the GitHub API. In such cases, you would need to explicitly pass the token to the action.
[B] When making an authenticated GitHub API request, the GITHUB_TOKEN is required to authenticate the request. This token is automatically provided by GitHub in the workflow, and it must be explicitly used when interacting with the GitHub API.
Note: You can use the GITHUB_TOKEN to make authenticated API calls. This example workflow creates an issue using the GitHub REST API:
Reference:
https://docs.github.com/en/actions/tutorials/authenticate-with-github_token
NEW QUESTION # 106
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