GITHUB-COPILOT Exam Details

  • Exam Code
    :GITHUB-COPILOT
  • Exam Name
    :GitHub CopilotCertification Exam
  • Certification
    :GitHub Certifications
  • Vendor
    :GitHub
  • Total Questions
    :65 Q&As
  • Last Updated
    :Jul 08, 2026

GitHub GITHUB-COPILOT Online Questions & Answers

  • Question 21:

    Why might a Generative AI (Gen AI) tool create inaccurate outputs?

    A. The Gen AI tool is overloaded with too many requests at once.
    B. The Gen AI tool is experiencing downtime and is not fully recovered.
    C. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
    D. The training data might contain biases or inconsistencies.

  • Question 22:

    Which GitHub Copilot plan allows for prompt and suggestion collection?

    A. GitHub Copilot Individuals
    B. GitHub Copilot Business
    C. GitHub Copilot Enterprise
    D. GitHub Copilot Codespace

  • Question 23:

    What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

    A. Suggest homogeneous solutions if provided a diverse data set.
    B. Suggest innovative coding solutions that are not yet popular.
    C. Suggest code snippets that reflect the most common practices in the training data.
    D. Suggest completely novel projects, while reducing time on a project.

  • Question 24:

    How does GitHub Copilot Chat help in understanding the existing codebase?

    A. By running code linters and formatters.
    B. By providing visual diagrams of the code structure.
    C. By answering questions about the code and generating explanations.
    D. By automatically refactoring code to improve readability.

  • Question 25:

    Which of the following are capabilities of GitHub Copilot's Telemetry or Metrics API?

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

  • Question 26:

    Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution.Choose two.)

    A. Code suggestions
    B. Chat
    C. Knowledge Base
    D. Pull Request Diff Analysis

  • Question 27:

    How can GitHub Copilot be limited when it comes to suggesting unit tests?

    A. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
    B. GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.
    C. GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.
    D. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.

  • Question 28:

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

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

  • Question 29:

    Which of the following describes role prompting?

    A. Describing in your prompt what your role is to get a better suggestion
    B. Tell GitHub Copilot in what tone of voice it should respond
    C. Prompt GitHub Copilot to explain what was the role of a suggestion
    D. Giving GitHub Copilot multiple examples of the form of the data you want to use

  • Question 30:

    What is the primary role of the /optimize slash command in Visual Studio?

    A. Automatically formats the code according to the selected style guide.
    B. Enhances the performance of the selected code by analyzing its runtime complexity.
    C. Summarizes your documentation into more maintainable and readable formats.
    D. Translates code into a more performant language.

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