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Microsoft GH-300 Practice Test Questions Answers

Exam Code: GH-300 (Updated 123 Q&As with Explanation)
Exam Name: GitHub Copilot Exam
Last Update: 30-May-2026
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Questions Include:

  • Single Choice: 84 Q&A's
  • Multiple Choice: 36 Q&A's
  • Hotspot: 2 Q&A's
  • Drag Drop: 1 Q&A's

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    GH-300 Questions and Answers

    Question # 1

    What kind of insights can the GitHub Copilot usage metrics API provide to help evaluate the effectiveness of GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

    A.

    The API can generate detailed reports on code quality improvements made by GitHub Copilot.

    B.

    The API can track the number of code suggestions accepted and used in the organization.

    C.

    The API can provide Copilot Chat specific suggestions acceptance metrics.

    D.

    The API can refactor your code to improve productivity.

    E.

    The API can provide feedback on coding style and standards compliance.

    Question # 2

    When using an IDE with a supported GitHub Copilot plug-in, which Chat features can be accessed from within the IDE? (Each correct answer presents part of the solution. Choose two.)

    A.

    Explain code and suggest improvements

    B.

    Generate unit tests

    C.

    Plan coding tasks

    D.

    Find out about releases and commits

    Question # 3

    What can be done during AI development to minimize bias?

    A.

    Improve on the computational efficiency and speed.

    B.

    Focus on accuracy of the data.

    C.

    Collect massive amounts of data for training.

    D.

    Use diverse data, fairness metrics, and human oversight.

    Question # 4

    Which of the following statements correctly describes how GitHub Copilot Individual uses prompt data? (Each correct answer presents part of the solution. Choose two.)

    A.

    Prompt data is stored unencrypted for faster processing.

    B.

    Prompt data is used internally by GitHub for improving the search engine.

    C.

    Prompt data is used to train machine learning models for better code suggestions.

    D.

    Real-time user input helps generate context-aware code suggestions.

    Question # 5

    What reasons could apply if code suggestions are not working in your editor? (Select three.)

    A.

    You are working in files included in your .gitignore

    B.

    You do not have an active internet connection

    C.

    Your programming language is not supported

    D.

    Your content exclusion is active and blocks the use of GitHub Copilot

    E.

    You do not have a valid GitHub Copilot license

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