Results
#1. What is the primary function of GitHub Copilot within the Visual Studio Code environment?
#2. Which of the following file extensions does GitHub Copilot most effectively support for code suggestions?
#3. What is required to enable GitHub Copilot in Visual Studio Code?
#4. What is one key feature of GitHub Copilot when writing code comments in plain English?
#5. How does GitHub Copilot provide code suggestions?
#6. Which of the following best describes how Copilot treats private code?
#7. Which extension must be installed in Visual Studio Code to enable GitHub Copilot?
#8. How can you accept an inline suggestion from GitHub Copilot in Visual Studio Code?
#9. What is one responsible practice when using code suggestions from Copilot?
#10. Scenario 2 — Prompt Refinement for Bug Localization. A developer uses Copilot Chat in VS Code to identify the cause of an intermittent null‑reference error in a Python API, but Copilot’s explanations remain vague. Which strategy will most likely improve Copilot’s diagnostic accuracy?
#11. Scenario — Improving Test Coverage with Copilot Chat. You’re enhancing the test coverage of a large TypeScript backend project. The team wants to use Copilot Chat to auto‑generate tests and ensure that each new function receives basic validation. What is the best approach to maximize the quality of generated test cases?
Question 16: Copilot and Code Comments
Which of the following comment styles is most effective for guiding GitHub Copilot?
A. // Do something useful
B. // Calculate the total price including tax and discount
C. // Function
D. // Fix this
// Calculate the total price including tax and discount.Question 17: Copilot and Testing
What is a recommended way to use GitHub Copilot when writing unit tests?
A. Let Copilot generate tests without reviewing them
B. Use Copilot to scaffold test cases and refine them manually
C. Avoid using Copilot for testing
D. Only use Copilot for UI tests
B. Use Copilot to scaffold test cases and refine them manually.
Question 18: Copilot and Code Suggestions
Which of the following is a sign of poor Copilot suggestion quality?
A. The suggestion includes outdated APIs
B. The suggestion matches your comment exactly
C. The suggestion compiles without errors
D. The suggestion includes inline documentation
A. The suggestion includes outdated APIs.
19: Copilot and Collaboration
How can GitHub Copilot enhance collaboration in a development team?
A. By replacing team discussions with AI suggestions
B. By generating code that teammates can review and improve
C. By removing the need for documentation
D. By automatically merging pull requests
B. By generating code that teammates can review and improve.
Question 20: Copilot and Accessibility
Which of the following is a positive use case of GitHub Copilot for improving accessibility?
A. Generating ARIA labels for screen readers
B. Removing all alt text from images
C. Ignoring keyboard navigation support
D. Disabling semantic HTML tags
A. Generating ARIA labels for screen readers.
GitHub Copilot can assist in writing accessible code by suggesting ARIA labels, semantic HTML, and other features that improve usability for people with disabilities. This is a positive and ethical use case. The other options listed (removing alt text, ignoring keyboard support, disabling semantic tags) reduce accessibility and are considered poor practices.
Question 21: Copilot and Code Consistency
Which of the following practices helps maintain consistency when using GitHub Copilot across a team?
A. Let each developer use Copilot however they prefer
B. Establish shared coding standards and review Copilot suggestions accordingly
C. Avoid documenting Copilot usage
D. Disable Copilot for junior developers
B. Establish shared coding standards and review Copilot suggestions accordingly.
Question 22: Copilot and Sensitive Data
Which of the following is a safe practice when using GitHub Copilot in a repository that contains sensitive data?
A. Use Copilot to generate encryption keys
B. Disable Copilot suggestions in sensitive files
C. Accept all suggestions without review
D. Share Copilot-generated code snippets publicly
B. Disable Copilot suggestions in sensitive files.
Question 23: Copilot and Code Efficiency
Which of the following is a benefit of using GitHub Copilot for repetitive coding tasks?
A. It reduces the need for code optimization
B. It eliminates the need for documentation
C. It speeds up development by automating boilerplate code
D. It replaces the need for experienced developers
C. It speeds up development by automating boilerplate code.
Question 24: Copilot and Pull Requests
What is a good practice when using Copilot-generated code in a pull request?
A. Skip the pull request description since Copilot wrote the code
B. Clearly explain the purpose and origin of the Copilot-generated code
C. Merge the pull request without review
D. Avoid using Copilot code in pull requests
B. Clearly explain the purpose and origin of the Copilot-generated code.
Question 25: Copilot and Language Models
What type of model powers GitHub Copilot?
A. Rule-based expert system
B. Traditional compiler
C. Large language model (LLM)
D. Neural network for image recognition
C. Large language model (LLM).
