GH-300 GitHub Copilot Free Practice Questions and Answers

A developer wants GitHub Copilot to suggest code while editing a supported file in an IDE. What is the typical interaction?

• A. Review an inline completion and accept, modify, or dismiss it
• B. Allow Copilot to commit every suggestion automatically without review
• C. Disable the editor language service before requesting suggestions
• D. Store source code in a public issue before using completion

A prompt produces vague code suggestions. Which change is most likely to improve relevance?

• A. Add the task goal, constraints, relevant code context, and expected output
• B. Remove all context and ask for “the best code”
• C. Include unrelated files to increase prompt length
• D. Ask Copilot to ignore project conventions

Copilot generates a function that appears to meet a requirement. What should the developer do before merging it?

• A. Review behavior, test edge cases, and verify security and correctness
• B. Merge it immediately because generated code is guaranteed correct
• C. Remove tests to avoid contradicting the suggestion
• D. Assume the generated code follows every license automatically

A Copilot-assisted change modifies input validation. Which practice gives the strongest confidence in the change?

• A. Add or update tests for valid inputs, invalid inputs, and boundary cases
• B. Test only the example shown in the prompt
• C. Skip tests if the suggestion compiles
• D. Replace the test suite with a comment

A developer is unsure whether a suggested implementation handles sensitive data safely. What is the best next step?

• A. Assess the data flow and apply the organization’s security and privacy requirements
• B. Assume the suggestion is safe because it was generated by an assistant
• C. Add production secrets to the prompt for more accurate output
• D. Disable security review for AI-assisted changes