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GitHub CopilotCertification Exam Sample Questions (Q44-Q49):

NEW QUESTION # 44
What role does chat history play in GitHub Copilot's code suggestions?

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

Answer: D

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 # 45
Which of the following is a risk associated with using AI?

A. AI replaces the need for developer opportunities in most fields.
B. AI systems can sometimes make decisions that are difficult to interpret.
C. AI algorithms are incapable of perpetuating existing biases.
D. AI eliminates the need for data privacy regulations.

Answer: B

Explanation:
A risk associated with AI is that its decisions can be difficult to interpret, leading to a lack of transparency and potential misunderstandings.

NEW QUESTION # 46
What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter? (Each correct answer presents part of the solution. Choose two.)

A. Code that contains logical errors or produces unexpected results
B. Code comments containing strong opinions or criticisms
C. Sexually suggestive or explicit content
D. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)

Answer: C,D

Explanation:
GitHub Copilot includes a toxicity filter to prevent the generation of harmful or inappropriate content. This filter flags prompts or code snippets that contain hate speech, discriminatory language, or sexually suggestive or explicit content. This ensures a safe and respectful coding environment.

NEW QUESTION # 47
1.
blog.yatricloud.com
blog.yatricloud.com

A. The API can provide Copilot Chat specific suggestions acceptance metrics.
B. The API can refactor your code to improve productivity.
C. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
D. The API can provide feedback on coding style and standards compliance.
E. The API can track the acceptance rate of code suggestions accepted and used in the organization.

Answer: A,E

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.

NEW QUESTION # 48
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

A. Accepted chat suggestions
B. Code suggestions made by GitHub Copilot
C. Changes to content exclusion settings
D. Suggestions blocked by duplication detection filtering

Answer: C

NEW QUESTION # 49
......

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