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Microsoft GitHub Copilot Sample Questions (Q56-Q61):

NEW QUESTION # 56
What are the additional checks that need to pass before the GitHub Copilot responses are submitted to the user? (Each correct answer presents part of the solution. Choose two.)

A. Code quality
B. Suggestions matching public code (optional based on settings)
C. Performance benchmarking
D. Compatibility with user-specific settings

Answer: A,B

Explanation:
Exact extracts:
* "Copilot applies post-processing checks for code quality to ensure that responses meet baseline standards." References: GitHub Copilot safeguards documentation.

NEW QUESTION # 57
How does GitHub Copilot utilize chat history to enhance its code completion capabilities?

A. By sharing chat history with third-party services to improve integration and functionality.
B. By logging chat history to monitor user activity and ensure compliance with coding standards.
C. By analyzing past chat interactions to identify common programming patterns and errors.
D. By using chat history to offer personalized code snippets based on previous prompts.

Answer: C

Explanation:
"GitHub Copilot Chat can reference the ongoing conversation history to analyze patterns, common coding styles, and errors, providing more accurate and contextual suggestions." This demonstrates that chat history is used to identify patterns and enhance contextual accuracy, making option C correct.
References: GitHub Copilot Chat documentation.

NEW QUESTION # 58
What is one of the recommended practices when using GitHub Copilot Chat to enhance code quality?

A. Regularly review and refactor the code suggested by Copilot.
B. Avoid using Copilot for complex tasks.
C. Disable Copilot's inline suggestions.
D. Rely solely on Copilot's suggestions without reviewing them.

Answer: A

Explanation:
"Developers should always review, test, and refactor code generated by GitHub Copilot. Copilot can speed up development, but maintaining code quality requires careful human oversight." This establishes that regularly reviewing and refactoring Copilot suggestions is the recommended best practice.
References: GitHub Copilot responsible use guidelines.

NEW QUESTION # 59
Which of the following describes role prompting?

A. Tell GitHub Copilot in what tone of voice it should respond
B. Describing in your prompt what your role is to get a better suggestion
C. Giving GitHub Copilot multiple examples of the form of the data you want to use
D. Prompt GitHub Copilot to explain what was the role of a suggestion

Answer: B

Explanation:
Role prompting involves explicitly stating your role or the persona you want GitHub Copilot to adopt within your prompt. This helps Copilot provide more contextually relevant and accurate suggestions. By defining your role (e.g., "As a senior software engineer," "As a technical writer"), you guide Copilot to tailor its responses to align with the expertise and perspective associated with that role. This improves the quality and relevance of the generated code and explanations.

NEW QUESTION # 60
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)

A. It can validate the accuracy of the changes in the pull request.
B. It can answer questions about the changeset of the pull request.
C. It automatically merges pull requests after an automated review.
D. It generates a prose summary and a bulleted list of key changes for pull requests.

Answer: B,D

Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.
Reference: GitHub Copilot Enterprise pull request review documentation.

NEW QUESTION # 61
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Microsoft GitHub Copilot Sample Questions (Q56-Q61):

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