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GitHub GitHub-Copilot Exam Overview:

Certification Vendor:	GitHub, Microsoft
Exam Name:	GitHub Copilot Certification Exam
Exam Number:	GH-300
Certificate Validity Period:	24 months
Available Languages:	Portuguese (Brazil), Korean, Spanish, Japanese, English
Exam Duration:	100 minutes
Exam Price:	$99 USD
Exam Format:	Case study, Scenario-based, Multiple-choice, Multi-select
Real Exam Qty:	60–65
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:

Topic	Details
Topic 1	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 2	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 3	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 4	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 5	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 (Q77-Q82):

NEW QUESTION # 77
Which of the following are true about code suggestions? Each correct answer presents part of the solution. (Choose two.)

A. Code suggestions are limited to single-line suggestions
B. Code suggestions are guaranteed to not expose known security vulnerabilities
C. Code suggestions will always compile or run without modifications
D. Alternative code suggestions can be shown in a new tab
E. You can use keyboard shortcuts to accept the next word in a suggestion

Answer: D,E

Explanation:
You can use keyboard shortcuts (e.g., Tab or Ctrl+→) to accept the next word (or token) of an inline suggestion.
When you request alternative completions, Copilot opens them in the Copilot pane (a new editor tab) where you can browse and insert the option you prefer.

NEW QUESTION # 78
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

A. Privacy and Security
B. Fairness
C. Reliability and Safety
D. Inclusiveness

Answer: B

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

NEW QUESTION # 79
Which of the following does GitHub Copilot's LLM derive context from when producing a response?

A. Syntax highlighting scheme of the code in the IDE
B. Neighboring or related files within a project
C. Frequency of commits to the repository
D. Version control system integrated with the IDE

Answer: B

Explanation:
GitHub Copilot's model derives context not from version control metadata or visual styling, but from the actual code you're working on - including files open alongside your current file (neighboring or related files) - to inform its suggestions.

NEW QUESTION # 80
What is the primary purpose of organization audit logs in GitHub Copilot Business?

A. To assign software licenses within the organization
B. To track the number of lines of code suggested by Copilot
C. To monitor administrator activities and actions within the organization
D. To monitor code conflicts across repositories

Answer: C

Explanation:
Organization audit logs in Copilot Business record administrator actions - such as policy changes and seat assignments - so you can review and verify who made what changes within your organization.

NEW QUESTION # 81
Which of the following statements best describes the impact of GitHub Copilot on the software development process?

A. It reduces overhead by automating testing workflows.
B. It decreases software vulnerabilities from third party dependencies.
C. It increases productivity by automating repetitive coding tasks.
D. It replaces the need for developers in the software development process.

Answer: C

Explanation:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.

NEW QUESTION # 82
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