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GitHub GitHub-Copilot Exam Overview:

Certification Vendor:GitHub, Microsoft
Exam Name:GitHub Copilot Certification Exam
Exam Number:GH-300
Exam Duration:100 minutes
Exam Format:Case study, Multiple-choice, Multi-select, Scenario-based
Available Languages:Japanese, English, Korean, Portuguese (Brazil), Spanish
Exam Price:$99 USD
Real Exam Qty:60–65
Certificate Validity Period:24 months
Passing Score:700 / 1000 (approx. 70%)
Recommended Training:GitHub Copilot Learning Path
GitHub Official Documentation
Exam Registration:Official GitHub Certification Page
Pearson VUE Registration
Sample Questions:GitHub GitHub-Copilot Sample Questions
Exam Way:Online proctored or in-person at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended: foundational GitHub knowledge, experience with at least one programming language, hands-on use of Copilot
Official Syllabus URL:https://learn.github.com/certification/COPILOT

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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 4
  • Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.

GitHub CopilotCertification Exam Sample Questions (Q111-Q116):

NEW QUESTION # 111
What specific function does the '/fix' slash command perform?

Answer: A

Explanation:
The /fix command tells Copilot to examine the selected code, identify syntax or logic issues, and propose corrections - streamlining the process of fixing errors directly in your editor.


NEW QUESTION # 112
What is the main purpose of the duplication detection filter in GitHub Copilot?

Answer: B

Explanation:
The duplication detection filter checks any suggestion against public GitHub code - examining roughly 150 characters of generated code and its surrounding context - and blocks suggestions that match or closely resemble public snippets.


NEW QUESTION # 113
How can users provide feedback about GitHub Copilot Chat using their IDE?

Answer: B

Explanation:
In supported IDEs (e.g., Visual Studio or JetBrains), you can click the "Share Feedback" (or
"Send feedback") button directly in the Copilot Chat panel to submit likes, dislikes, and comments on any response.


NEW QUESTION # 114
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

Answer: B

Explanation:
The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.


NEW QUESTION # 115
What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Answer: B,D

Explanation:
GitHub Copilot can generate sample data by creating fictitious information based on patterns in its training data and by using suggestions based on API documentation within the repository.


NEW QUESTION # 116
......

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