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GitHub CopilotCertification Exam Sample Questions (Q54-Q59):

NEW QUESTION # 54
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. "Predict future coding trends and update my codebase accordingly."
B. "Suggest ways to enhance the maintainability of this code segment."
C. "Refactor my application to meet the latest coding standards."
D. "Show me how to improve the readability of this function."

Answer: B,D

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.

NEW QUESTION # 55
What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?

A. Reviewing and validating the generated output for accuracy and completeness.
B. The explanations are dynamically updated based on user feedback.
C. The explanations are primarily derived from user-provided documentation.
D. GitHub Copilot Chat uses a static database for generating explanations.

Answer: A

Explanation:
While GitHub Copilot Chat can provide helpful explanations and suggestions, it's crucial to review and validate the generated output. Copilot's suggestions are based on its training data, and they may not always be perfectly accurate or complete. Human judgment is essential to ensure the quality and correctness of the code.

NEW QUESTION # 56
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 generates a prose summary and a bulleted list of key changes for pull requests.
C. It automatically merges pull requests after an automated review.
D. It can answer questions about the changeset of the pull request.

Answer: B,D

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

NEW QUESTION # 57
How can the concept of fairness be integrated into the process of operating an AI tool?

A. Focusing on accessibility will ensure fairness.
B. Focusing on collecting large datasets for training will ensure fairness.
C. Training AI data and algorithms to be free from biases will ensure fairness.
D. Regularly monitoring the AI tool's performance will ensure fairness in its outputs.

Answer: C

Explanation:
Fairness in AI tools is achieved by training the data and algorithms to be free from biases. This ensures that the tool treats all users equitably and avoids discriminatory outcomes.

NEW QUESTION # 58
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)

A. Creation of a unit test scenario for newly developed Python code
B. Create a technical requirement specification from the business requirement documentation
C. Creation of end-to-end performance testing scenarios for a web application
D. Explain a legacy COBOL code and translate the code to another language like Python.

Answer: A,D

Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.

NEW QUESTION # 59
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