GH-300: GitHub CopilotDemo

By Microsoft · Browse Mode
About the Exam

This exam measures skill in using GitHub Copilot to improve software development productivity, quality, and security. It covers responsible AI use, prompt engineering, Copilot features across plans, and privacy safeguards. Candidates should also know GitHub fundamentals and have experience with one or more programming languages.

Exam Topics

  • Use GitHub Copilot responsibly15–20%
  • Use GitHub Copilot features25–30%
  • GitHub Copilot features25–30%
  • Understand GitHub Copilot data and architecture10–15%
  • Apply prompt engineering and context crafting10–15%
  • Improve developer productivity with GitHub Copilot10–15%
  • Configure privacy, content exclusions, and safeguards10–15%

How to Use This Practice Exam

  1. Browse — Read each question, select your answer, and reveal the explanation.
  2. Exam Mode — Simulate real exam conditions with a timed session and score report.
  3. Learn Mode — Spaced repetition schedules questions you struggle with for long-term retention.

Download the Full Exam PDF

Get every question and answer in a clean, printable PDF built for offline study. Purchase once, keep permanent access, and re-download the latest version anytime.

Get PDF
Learn More

Last updated August 13, 2026 at 8:05 PM

Topic filter
Retired questions
Question sort

QuestionQ1

Use GitHub Copilot responsibly

Why is it important to make sure that the code used in Generative AI (Gen AI) tools is secure?

  • A Ensuring code security prevents unauthorized access and potential data breaches.
  • B Ensuring code security enables the AI system to handle larger datasets effectively.
  • C Ensuring code security maintains the integrity of the AI system.
  • D Ensuring code security supports the development of more advanced AI features.
Explanation

Secure code reduces vulnerabilities that attackers could exploit to gain unauthorized access to Gen AI systems or their data, helping prevent data breaches.

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ2

Apply prompt engineering and context crafting

What does few-shot prompting mean?

  • A Telling GitHub Copilot to try multiple times to answer the prompt
  • B Telling GitHub Copilot to iterate several times on the answer before returning it to you
  • C Telling GitHub Copilot from which sources it should base the response on
  • D Telling GitHub Copilot about the mechanism you want it to use and how to incorporate that into the response
Explanation

Few-shot prompting provides a small set of examples or instructions that demonstrate the desired approach, enabling GitHub Copilot to follow that mechanism and apply it in its response. GitHub guidance likewise recommends providing examples of input data, outputs, and implementations to guide Copilot.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ3

Use GitHub Copilot features

How can users submit feedback about GitHub Copilot Chat from within their IDE?

  • A By emailing the support team directly.
  • B Through the “Share Feedback” button in the Copilot Chat panel.
  • C By filling out a feedback form on the GitHub website.
  • D By posting on the GitHub forums.
Explanation

GitHub Copilot Chat provides an in-product feedback option in the IDE’s Copilot Chat interface, allowing users to share feedback directly from the chat panel.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ4

Understand GitHub Copilot data and architecture

Why could a Generative AI (Gen AI) tool generate inaccurate outputs?

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

Biases or inconsistencies in training data can cause a Generative AI system to learn unreliable patterns and generate inaccurate information.

Community Discussion

No comments yet. Be the first to start the discussion!

QuestionQ5

Configure privacy, content exclusions, and safeguards

What limitation applies to content exclusions?

  • A Content exclusions can be worked around as it is only available for Git repositories.
  • B Repository administrators and organization owners cannot manage content exclusion settings.
  • C Content exclusions are only available in the GitHub Copilot Individual plan.
  • D Content exclusions can only be configured by an enterprise administrator.
Explanation

Content exclusions are scoped to Git repositories, so they can be circumvented when the same content is made available outside that repository scope. GitHub documents that repository administrators, organization owners, and enterprise owners can manage exclusions, and that the feature is available with Copilot Business and Copilot Enterprise.

Learn more

Community Discussion

No comments yet. Be the first to start the discussion!
Know a question that should be here? Contribute to this exam
Back home