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GitHub-Actions GitHub Actions

  • GitHub
  • 5 free sample questions

About this exam

GitHub-Actions is the GitHub exam GitHub Actions. Paid practice material for this exam is not available yet, but you can try its free sample questions.

Exam code
GitHub-Actions
Vendor
GitHub
Practice questions
Not available yet
Free sample questions
5
Question bank last updated
Not available yet

Try 2 sample questions

Taken from the free sample set for GitHub-Actions.

Question 1 (choose 3)

As a developer, which workflow steps should you perform to publish an image to the GitHub Container Registry? (Choose three.) 

  1. Option A:

    Use the actions/setup-docker action

  2. Option B:

    Authenticate to the GitHub Container Registry. 

  3. Option C:

    Build the container image.

  4. Option D:

    Push the image to the GitHub Container Registry 

  5. Option E:

     Pull the image from the GitHub Container Registry

Show answer and explanation

Correct answer: A, B, D

Question 2 (choose 3)

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

  1. Option A:

    Encrypt the dataset. 

  2. Option B:

     Leverage the actions/download-secret action in the workflow.

  3. Option C:

     Store the dataset in a GitHub encrypted secret.

  4. Option D:

    Store the encryption keys in a GitHub encrypted secret. 

  5. Option E:

    Compress the dataset

  6. Option F:

     Commit the encrypted dataset to the same repository as the workflow

  7. Option G:

    Create a GitHub encrypted secret with the Large object option selected and upload the dataset.

Show answer and explanation

Correct answer: A, C, D

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.

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