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Latest GitHub Copilot Exam Practice Questions

The practice questions for GitHub Copilot exam was last updated on 2025-09-15 .

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Question#1

What is a benefit of using custom models in GitHub Copilot?

A. Responses are faster to produce and appear sooner

B. Responses use practices and patterns in your repositories

C. Responses use the organization's LLM engine

D. Responses are guaranteed to be correct

Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and practices within your repositories. This results in suggestions that are more aligned with your organization's coding standards and conventions, improving the relevance and accuracy of the generated code.
Reference: GitHub Copilot Enterprise documentation on custom models.

Question#2

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.

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.

Question#3

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.

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.

Question#4

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A. The API can generate detailed reports on code quality improvements made by GitHub Copilot.

B. The API can track the acceptance rate of code suggestions accepted and used in the organization.

C. The API can refactor your code to improve productivity.

D. The API can provide feedback on coding style and standards compliance.

E. The API can provide Copilot Chat specific suggestions acceptance metrics.

Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.
Reference: GitHub Copilot usage metrics API documentation.

Question#5

What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?

A. Suggestions matching public code to 'blocked'

B. Enforce blocking of MIT or GPL licensed code

C. You need to check code suggestions yourself before accepting

D. Enable GitHub Copilot license checking

Explanation:
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.
Reference: GitHub Copilot documentation on IP protection and code filtering.

Exam Code: GitHub CopilotQ & A: 65 Q&AsUpdated: 2025-09-15

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