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Updated: Nov 04, 2026

No. of Questions: 133 Questions & Answers with Testing Engine

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GitHub-Copilot Practice Q&A's

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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
Topic 1
  • Prompt Engineering: This section of the exam measures skills of AI Engineers and Software Developers and covers the fundamentals of prompt engineering, including key principles, techniques, and best practices for generating high-quality outputs. It explains different prompting strategies such as zero-shot and few-shot prompting, how context influences AI-generated responses, and the role of structured prompts in guiding Copilot's behavior. It also discusses the prompt lifecycle and ways to enhance model performance through refined input instructions.
Topic 2
  • GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.
Topic 3
  • Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.
Topic 4
  • How GitHub Copilot Works and Handles Data: This section of the exam measures the skills of Data Security Specialists and DevOps Engineers and covers how GitHub Copilot processes data, handles code suggestions and manages privacy concerns. It explains the data pipeline for Copilot’s suggestions, how it gathers context, and how prompts are processed through its AI model. The section also discusses the limitations of AI-generated code, the effects of historical data on suggestions, and the role of prompt crafting. Best practices for improving prompt effectiveness and optimizing AI-generated responses are included.

Reference: https://examregistration.github.com/certification/COPILOT

GitHub GitHub-Copilot Exam Overview:

Certification Vendor:GitHub
Exam Name:Microsoft GitHub Copilot
Exam Number:GH-300
Real Exam Qty:60-65
Exam Format:Multiple Choice
Related Certifications:GitHub Copilot Certified Professional
Passing Score:700 / 1000
Exam Duration:100 minutes
Available Languages:English
Certificate Validity Period:2 years
Exam Price:$99 USD
Sample Questions:GitHub GitHub-Copilot Sample Questions
Exam Way:Proctored (Online or Offline Test Centers)
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-copilot

GitHub CopilotCertification Sample Questions:

Question #1

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

  • 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 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.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

In what ways can GitHub Copilot support a developer during the code refactoring process? Each correct answer presents part of the solution. (Choose two.)

  • A. By offering code transformation examples that enhance performance and reduce complexity.
  • B. By providing suggestions for improving code readability and maintainability based on best practices.
  • C. By autonomously refactoring entire codebases to the latest programming language.
  • D. By independently ensuring compliance with regulatory standards across industries.
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

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Question #3

What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

  • A. Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.
  • B. Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.
  • C. Utilize GitHub Copilot's capability to directly access and use databases to create sample data.
  • D. Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.
Reveal Solution  Discussion  0

Correct Answer: B,D  🗳️

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Question #4

What is a limitation of content exclusions?

  • A. Content exclusions can be worked around as it is only available for Git repositories.
  • B. Content exclusions can only be configured by an enterprise administrator.
  • C. Repository administrators and organization owners cannot manage content exclusion settings.
  • D. Content exclusions are only available in the GitHub Copilot Individual plan.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

A developer is working for an enterprise that hosts all its code on Bitbucket and wants to leverage GitHub Copilot. However, their organization doesn't have any GitHub repositories. Can they still access GitHub Copilot?

  • A. Yes, only when the organization migrates their Codebase to GitHub from Bitbucket
  • B. No, GitHub Copilot for CLI can only work with GitHub-hosted projects
  • C. Yes, by using GitHub Copilot for business, they can integrate GitHub Copilot with non-GitHub- hosted repositoriesright
  • D. No, Copilot can only be used with GitHub repositories
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Frequently Asked Questions

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Online Test Engine can supports Windows / Mac / Android / iOS, etc., because it is the software based on WEB browser. You can use it on any electronic device and practice with self-paced.
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PDF Version: can be read under the Adobe reader, or many other free readers, including OpenOffice, Foxit Reader and Google Docs.

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All the products are updated frequently but not on a fixed date. Our professional team pays a great attention to the exam updates and they always upgrade the content accordingly.

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