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GitHub GitHub-Copilot Exam Syllabus Topics:

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

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GitHub CopilotCertification Exam Sample Questions (Q69-Q74):

NEW QUESTION # 69
If you are working on open source projects, GitHub Copilot Individual can be paid:

Answer: C


NEW QUESTION # 70
1.
blog.yatricloud.com
blog.yatricloud.com

Answer: B,C

Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.


NEW QUESTION # 71
What is used by GitHub Copilot in the IDE to determine the prompt context?

Answer: B

Explanation:
Copilot gathers context directly from your IDE - including which files or tabs are open, where your cursor is positioned, and any selected code - to tailor its suggestions to exactly where and how you're coding.


NEW QUESTION # 72
Where can you validate if GitHub Copilot is not returning suggestions because of content exclusions?

Answer: A

Explanation:
The GitHub Copilot icon in your editor's status bar will display a message whenever suggestions are blocked due to content exclusions, making it the place to check for such notifications.


NEW QUESTION # 73
While working in Visual Studio Code, a developer notices inline code suggestions appearing as they type. The suggestions seem to adapt based on comments and previously written code. What does this behavior best describe about GitHub Copilot in the IDE?

Answer: B

Explanation:
GitHub Copilot in IDEs like VS Code works by analyzing the surrounding code and developer comments in real-time. It uses this context to suggest relevant completions, often inline as you type.
Reference:
https://learn.microsoft.com/en-us/training/modules/introduction-to-github-Copilot/3-interacting-with-Copilot


NEW QUESTION # 74
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