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GitHub GitHub-Copilot Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Responsible AI7%–20%- Legal and compliance considerations
- Ethical and safe use of AI tools
Topic 2: Prompt Crafting and Prompt Engineering9%–15%- Designing effective prompts
- Iterative improvement and context management
Topic 3: Privacy Fundamentals and Context Exclusions15%–20%- Configuring context exclusion rules
- Protecting sensitive information
Topic 4: GitHub Copilot Plans and Features25%–31%- Feature comparison and capabilities
- Free, Pro, Business, Enterprise plans
- Configuration and settings
Topic 5: Testing with GitHub Copilot9%–15%- Generating tests and validation
- Verifying output quality and correctness
Topic 6: How GitHub Copilot Works and Handles Data10%–15%- Architecture and underlying technology
- Context collection and privacy controls
- Data processing, retention, and usage policies
Topic 7: Developer Use Cases for AI14%–20%- Integration with IDEs and workflows
- Code generation and completion
- Refactoring, documentation, and testing

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GitHub CopilotCertification Exam Sample Questions (Q14-Q19):

NEW QUESTION # 14
What are the potential limitations of GitHub Copilot in maintaining existing codebases?

Answer: D

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 # 15
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

Answer: A

Explanation:
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.


NEW QUESTION # 16
How do you generate code suggestions with GitHub Copilot in the CLI?

Answer: D

Explanation:
In the terminal you invoke Copilot with the GitHub CLI by running gh copilot suggest, then enter your natural‑language request and choose from the list of command suggestions it returns.


NEW QUESTION # 17
Why is code reviewing still necessary when using GitHub Copilot to write tests?

Answer: B

Explanation:
Code review is necessary because GitHub Copilot's generated test cases might not cover all possible scenarios, especially edge cases and complex interactions.


NEW QUESTION # 18
Your organization wants GitHub Copilot Enterprise to suggest code based on internal coding practices and documentation. Which of the following features should be configured to allow Copilot to access and utilize organization-specific content?

Answer: A

Explanation:
GitHub Copilot Enterprise allows organizations to create and configure Knowledge Bases containing internal code snippets, documentation, best practices, and more. These resources are used by Copilot to provide contextually relevant suggestions based on proprietary content.
Reference:
https://docs.github.com/en/enterprise-cloud@latest/Copilot/customizing-Copilot/managing-Copilot-knowledge-bases


NEW QUESTION # 19
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