GH-300 Exam Details

  • Exam Code
    :GH-300
  • Exam Name
    :GitHub Copilot
  • Certification
    :Microsoft Certifications
  • Vendor
    :Microsoft
  • Total Questions
    :120 Q&As
  • Last Updated
    :Jul 08, 2026

Microsoft GH-300 Online Questions & Answers

  • Question 11:

    How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

    A. By opening the relevant tabs in your IDE
    B. By adding relevant code snippets to your prompt
    C. By adding the important files to your .gitconfig
    D. By adding the full file paths to your prompt of important files

  • Question 12:

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

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

  • Question 13:

    What content can be configured to be excluded with content exclusions? (Each correct answer presents part of the solution. Choose three.)

    A. Files
    B. Folders
    C. Lines in files
    D. Gists
    E. Repositories

  • Question 14:

    What GitHub Copilot pricing plan gives you access to your company's knowledge bases?

    A. GitHub Copilot Individual
    B. GitHub Copilot Business
    C. GitHub Copilot Enterprise
    D. GitHub Copilot Professional

  • Question 15:

    If you are working on open source projects, GitHub Copilot Individual can be paid:

    A. Based on the payment method in your user profile
    B. N/A - Copilot Individual is a free service for all open source projects
    C. Through an invoice or a credit card
    D. Through an Azure Subscription

  • Question 16:

    How can GitHub Copilot facilitate a smoother learning experience when diving into a new programming language? (Each correct answer presents part of the solution. Choose two.)

    A. GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.
    B. GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.
    C. GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.
    D. GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.

  • Question 17:

    Where is the proxy service hosted?

    A. Self hosted
    B. Amazon Web Service
    C. Microsoft Azure
    D. Google Cloud Platform

  • Question 18:

    What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

    A. GitHub Copilot can independently verify the statistical significance of results.
    B. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
    C. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
    D. GitHub Copilot can design new statistical methods that have not been previously documented.

  • Question 19:

    In what ways can GitHub Copilot contribute to the design phase of the Software Development Life Cycle (SDLC)?

    A. GitHub Copilot can independently create a complete software design.
    B. GitHub Copilot can suggest design patterns and best practices relevant to the project.
    C. GitHub Copilot can manage design team collaboration and version control.
    D. GitHub Copilot can generate user interface (UI) prototypes without prompting.

  • Question 20:

    Why is code reviewing still necessary when using GitHub Copilot to write tests?

    A. Because GitHub Copilot can cover all possible scenarios in your test cases.
    B. Because GitHub Copilot generates the best code possible for the test scenario.
    C. Because GitHub Copilot's generated test cases may not cover all possible scenarios.
    D. Because GitHub Copilot replaces the need for manual testing.

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