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GitHub GitHub-Copilot Exam Overview:

Certification Vendor:GitHub, Microsoft
Exam Name:GitHub Copilot Certification Exam
Exam Number:GH-300
Passing Score:700 / 1000 (approx. 70%)
Available Languages:Japanese, Korean, English, Portuguese (Brazil), Spanish
Exam Price:$99 USD
Certificate Validity Period:24 months
Exam Format:Multi-select, Multiple-choice, Case study, Scenario-based
Real Exam Qty:60–65
Exam Duration:100 minutes
Recommended Training:GitHub Official Documentation
GitHub Copilot Learning Path
Exam Registration:Pearson VUE Registration
Official GitHub Certification Page
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
  • Privacy Fundamentals and Context Exclusions: This section of the exam measures skills of Cybersecurity Specialists and Compliance Officers and covers privacy safeguards and content exclusion settings in GitHub Copilot. It explains how Copilot can identify security vulnerabilities, suggest optimizations, and enforce secure coding practices. It also includes details on content ownership, data filtering mechanisms, and exclusion configurations. The section concludes with troubleshooting guidelines for managing context exclusions and ensuring compliance with organizational security policies.
Topic 2
  • 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 3
  • 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.

GitHub CopilotCertification Exam Sample Questions (Q129-Q134):

NEW QUESTION # 129
What is the impact of the "Fill-In-the-Middle" (FIM) technique on GitHub Copilot's code suggestions?

Answer: D

Explanation:
The Fill-In-the-Middle technique lets Copilot look at both what comes before and after your cursor, so it can generate the "missing" code between those segments more accurately.


NEW QUESTION # 130
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)

Answer: B,C

Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.


NEW QUESTION # 131
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

Answer: A,E

Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.


NEW QUESTION # 132
What are the potential limitations of GitHub Copilot in maintaining existing codebases?

Answer: A

Explanation:
GitHub Copilot operates within a limited context window and may not capture all dependencies or the full project structure in a large codebase, so it can misunderstand context and require developer oversight.


NEW QUESTION # 133
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)

Answer: D,E

Explanation:
The REST API endpoints are used to add and remove teams from the Copilot Business subscription within an organization.


NEW QUESTION # 134
......

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