GitHub-Copilot Valid Exam Pdf & GitHub-Copilot Real Exam Answers

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GitHub CopilotCertification Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?

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

Answer: D

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 # 58
Select a strategy to increase the performance of GitHub Copilot Chat.

A. Apply prompt engineering techniques to be more specific
B. Use a single GitHub Copilot Chat query to find resolutions for the collection of technical requirements
C. Limit the number of concurrent users accessing GitHub Copilot Chat
D. Optimize the usage of memory-intensive operations within generated code

Answer: A

Explanation:
Applying prompt engineering techniques to be more specific is the best strategy to increase the performance and relevance of GitHub Copilot Chat's responses.

NEW QUESTION # 59
A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?

A. GitHub Copilot Individual
B. GitHub Copilot Enterprise
C. GitHub Copilot Teams
D. GitHub Copilot Business for non-GHE customers

Answer: B

Explanation:
GitHub Copilot Enterprise is the most cost-effective plan for managing users with an Identity Provider like Okta, as it provides enterprise-level features and integration.

NEW QUESTION # 60
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?

A. It combines its training data set, code in user repositories, and external sources like Bing to generate responses.
B. It primarily relies on the model's training data to generate responses.
C. It primarily uses search results from Bing to generate responses.
D. It uses user-provided documentation exclusively to generate responses.

Answer: A

Explanation:
GitHub Copilot Chat combines its training data, code from user repositories, and external sources like Bing to generate comprehensive and relevant responses to coding questions.

NEW QUESTION # 61
What role does chat history play in GitHub Copilot's code suggestions?

A. Chat history is stored and shared with other users to enhance collaboration.
B. Chat history is used to train the GitHub Copilot model in real-time.
C. Chat history provides context to GitHub Copilot, improving the relevance and accuracy of its code suggestions.
D. Chat history is irrelevant to GitHub Copilot and does not affect its functionality.

Answer: C

Explanation:
Chat history provides valuable context to GitHub Copilot, helping it generate more relevant and accurate code suggestions based on previous interactions and conversations.

NEW QUESTION # 62
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GitHub-Copilot Valid Exam Pdf & GitHub-Copilot Real Exam Answers

GitHub-Copilot Real Exam Answers | GitHub-Copilot Testking Exam Questions

GitHub CopilotCertification Exam Sample Questions (Q57-Q62):

Free PDF Quiz GitHub - The Best GitHub-Copilot Valid Exam Pdf

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