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GH-300 GitHub Copilot Free Practice Questions and Answers

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GitHub GH-300 GitHub Copilot Practice Questions

Last updated on Oct 30, 2026.

137 Questions & Answers

Continue with free GH-300 practice questions and answers covering enterprise settings, confidentiality, prompt refinement, code explanation, and extension of AI-assisted workflows. Review questions 6–10 and check your understanding. Select Reveal Solution after choosing your answer.

Question #6Topic: Organization controls

An organization wants to manage which repositories can use Copilot. Where should an administrator configure the organization-level access policy?

  • A. In the organization’s Copilot settings and assigned policies
  • B. In each developer’s local shell history only
  • C. In a README file that has no enforcement mechanism
  • D. In an individual pull request comment
Reveal Solution
Correct Answer: A
Organization-level settings and policies provide a central place to manage access and availability for members and repositories.
Question #7Topic: Sensitive information

A developer is asking Copilot for help with a production issue. Which prompt practice is safest?

  • A. Remove credentials and personal data, and share only the minimum relevant sanitized context
  • B. Paste production access tokens so the assistant can reproduce the issue
  • C. Include customer records to make the example realistic
  • D. Copy internal secrets into a public code snippet
Reveal Solution
Correct Answer: A
Prompts should follow company data-handling rules; secrets and unnecessary personal or confidential data should be excluded.
Question #8Topic: Code explanation

A reviewer needs to understand unfamiliar code before changing it. What is a useful Copilot Chat request?

  • A. Ask for a step-by-step explanation of the selected code and clarify assumptions
  • B. Ask it to approve the change without describing it
  • C. Request a summary of an unrelated repository
  • D. Ask it to hide potential side effects
Reveal Solution
Correct Answer: A
A focused explanation request can help the reviewer understand the code, but the explanation should still be checked against actual behavior.
Question #9Topic: Prompt iteration

The first generated answer is too broad. What is the best way to refine the interaction?

  • A. State the exact scope, constraints, and desired format in a follow-up
  • B. Repeat the same broad prompt without adding detail
  • C. Ask for unrelated features in the same sentence
  • D. Remove the relevant code selection and context
Reveal Solution
Correct Answer: A
Iterative, specific instructions help narrow the output and make the response easier to evaluate.
Question #10Topic: Human oversight

A team uses AI assistance to draft a code change. Which responsibility remains with the team?

  • A. Validate the change against requirements, tests, security standards, and licensing policies
  • B. Treat generated output as authoritative and skip review
  • C. Publish it without checking dependencies
  • D. Assume the tool accepts responsibility for production impact
Reveal Solution
Correct Answer: A
Developers and reviewers remain accountable for checking correctness, security, quality, and applicable policy before release.
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