GitHub GitHub Copilot Practice Exams
Last updated on Oct 21,2026- Exam Code: GitHub Copilot
- Exam Name: GitHub Copilot Certification Exam
- Certification Provider: GitHub
- Latest update: Oct 21,2026
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?
- A . GitHub Copilot can independently verify the statistical significance of results.
- B . GitHub Copilot’s suggestions are based on statistical trends and may not always apply accurately to specific datasets.
- C . GitHub Copilot will automatically correct any statistical errors found in the user’s initial code.
- D . GitHub Copilot can design new statistical methods that have not been previously documented.
B
Explanation:
Developers should consider that GitHub Copilot’s suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.
Reference: GitHub Copilot data analysis limitations.
Why is code reviewing still necessary when using GitHub Copilot to write tests?
- A . Because GitHub Copilot can cover all possible scenarios in your test cases.
- B . Because GitHub Copilot generates the best code possible for the test scenario.
- C . Because GitHub Copilot’s generated test cases may not cover all possible scenarios.
- D . Because GitHub Copilot replaces the need for manual testing.
C
Explanation:
Code review is necessary because GitHub Copilot’s generated test cases might not cover all possible scenarios, especially edge cases and complex interactions.
Reference: GitHub Copilot testing best practices.
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)
- A . "Show me how to improve the readability of this function."
- B . "Suggest ways to enhance the maintainability of this code segment."
- C . "Refactor my application to meet the latest coding standards."
- D . "Predict future coding trends and update my codebase accordingly."
A, B
Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.
Reference: GitHub Copilot prompt engineering best practices.
What are the effects of content exclusions? (Each correct answer presents part of the solution. Choose two.)
- A . The excluded content is not directly available to GitHub Copilot to use as context.
- B . GitHub Copilot suggestions are no longer available in the excluded files.
- C . The excluded content is no longer used while debugging the code.
- D . The IDE will not count coding suggestions in the excluded content.
A, B
Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.
Reference: GitHub Copilot content exclusion documentation.
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)
- A . By adding comments to your code and triggering a suggestion.
- B . By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
- C . By running the gh copilot fix command.
- D . By using the "/fix" command in GitHub Copilot in-line chat.
- E . By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
A, E
Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.
Reference: GitHub Copilot refactoring documentation.
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
- A . Create a technical requirement specification from the business requirement documentation
- B . Explain a legacy COBOL code and translate the code to another language like Python.
- C . Creation of a unit test scenario for newly developed Python code
- D . Creation of end-to-end performance testing scenarios for a web application
B, C
Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
Reference: GitHub Copilot Chat use cases.
How does GitHub Copilot Chat ensure that a function works correctly?
- A . By suggesting assertions based on the code’s context and semantics.
- B . By automatically writing all the tests for the function.
- C . By writing the implementation code for the function.
- D . By executing the test cases to validate the correctness of the code.
A
Explanation:
GitHub Copilot Chat can suggest assertions based on the code’s context and semantics to help developers verify the correctness of their functions. These assertions serve as checks that the function behaves as expected under various conditions.
Reference: GitHub Copilot documentation on testing and code verification.
What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter? (Each correct answer presents part of the solution. Choose two.)
- A . Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
- B . Sexually suggestive or explicit content
- C . Code that contains logical errors or produces unexpected results
- D . Code comments containing strong opinions or criticisms
A, B
Explanation:
GitHub Copilot includes a toxicity filter to prevent the generation of harmful or inappropriate content. This filter flags prompts or code snippets that contain hate speech, discriminatory language, or sexually suggestive or explicit content. This ensures a safe and respectful coding environment.
Reference: GitHub Copilot documentation on safety and content filtering.
What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?
- A . The Settings menu in the GitHub Mobile app.
- B . The feedback section on the GitHub website.
- C . Use the emojis in the Copilot Chat interface.
- D . By tweeting at GitHub’s official X (previously known as Twitter) account.
C
Explanation:
The best way to share feedback on GitHub Mobile is using the emojis in the Copilot Chat interface,
which allows for direct and immediate feedback.
Reference: GitHub Copilot Mobile documentation.
How can GitHub Copilot assist with code refactoring tasks?
- A . GitHub Copilot can fix syntax errors without user input.
- B . GitHub Copilot can automatically rewrite code to follow best practices.
- C . GitHub Copilot can suggest refactoring improvements for better code quality.
- D . GitHub Copilot can remove unnecessary files from the project directory.
C
Explanation:
GitHub Copilot can analyze existing code and suggest refactoring improvements to enhance code quality, readability, and maintainability. It can propose changes to improve code structure, reduce complexity, and follow best practices.
Reference: GitHub Copilot documentation on code refactoring assistance.