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GitHub Copilot (GH-300) - Microsoft Exam Questions

Last updated on July 22, 2026

97% Exam Compliance
120 Total Questions
1
Question
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.)
Select 2
Options
A Sexually suggestive or explicit content
B Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
C Code comments containing strong opinions or criticisms
D Code that contains logical errors or produces unexpected results
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2
Question
1. blog.yatricloud.com
blog.yatricloud.com
Select 2
Options
A The API can track the acceptance rate of code suggestions accepted and used in the organization.
B The API can generate detailed reports on code quality improvements made by GitHub Copilot.
C The API can provide feedback on coding style and standards compliance.
D The API can provide Copilot Chat specific suggestions acceptance metrics.
E The API can refactor your code to improve productivity.
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3
Question
How does GitHub Copilot Chat utilize its training data and external sources to generate responses

when answering coding questions?
Options
A It primarily uses search results from Bing to generate responses.
B It primarily relies on the model's training data to generate responses.
C It uses user-provided documentation exclusively to generate responses.
D It combines its training data set, code in user repositories, and external sources like Bing to generate responses.
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4
Question
What is the primary purpose of organization audit logs in GitHub Copilot Business?
Options
A To assign software licenses within the organization
B To track the number of lines of code suggested by Copilot
C To monitor administrator activities and actions within the organization
D To monitor code conflicts across repositories
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5
Question
How does GitHub Copilot suggest code optimizations for improved performance?
Options
A By automatically rewriting the codebase to use more efficient code.
B By analyzing the codebase and suggesting more efficient algorithms or data structures.
C By providing detailed reports on the performance of the codebase.
D By enforcing strict coding standards that ensure optimal performance.
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