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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
Testing with GitHub Copilot	9%–15%	- Verifying output quality and correctness - Generating tests and validation
Developer Use Cases for AI	14%–20%	- Refactoring, documentation, and testing - Code generation and completion - Integration with IDEs and workflows
How GitHub Copilot Works and Handles Data	10%–15%	- Context collection and privacy controls - Architecture and underlying technology - Data processing, retention, and usage policies
Prompt Crafting and Prompt Engineering	9%–15%	- Designing effective prompts - Iterative improvement and context management
Privacy Fundamentals and Context Exclusions	15%–20%	- Configuring context exclusion rules - Protecting sensitive information
GitHub Copilot Plans and Features	25%–31%	- Feature comparison and capabilities - Configuration and settings - Free, Pro, Business, Enterprise plans
Responsible AI	7%–20%	- Legal and compliance considerations - Ethical and safe use of AI tools

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GitHub CopilotCertification Exam Sample Questions (Q61-Q66):

NEW QUESTION # 61
How does GitHub Copilot identify matching code and ensure that public code is appropriately handled or blocked? Each correct answer presents part of the solution. (Choose two.)

A. Filtering out suggestions that match code from public repositories
B. Using machine learning models trained only on private repositories
C. Implementing safeguards to detect and avoid suggesting verbatim snippets from public code
D. Reviewing and storing user-specific private repository data for future suggestions

Answer: A,C

Explanation:
Copilot includes a duplication‑detection filter that checks generated snippets against a corpus of public code to detect verbatim matches and avoid suggesting them.
When the "Block suggestions matching public code" setting is enabled, any suggestion that exceeds a similarity threshold with public repository code is suppressed before reaching the user.

NEW QUESTION # 62
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?

A. Inclusiveness
B. Fairness
C. Transparency
D. Accountability

Answer: C

Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrivesat its decisions and suggestions.

NEW QUESTION # 63
How can the concept of fairness be integrated into the process of operating an AI tool?

A. Focusing on collecting large datasets for training will ensure fairness.
B. Regularly monitoring the AI tool's performance will ensure fairness in its outputs.
C. Focusing on accessibility will ensure fairness.
D. Training AI data and algorithms to be free from biases will ensure fairness.

Answer: D

Explanation:
Fairness in AI tools is achieved by training the data and algorithms to be free from biases. This ensures that the tool treats all users equitably and avoids discriminatory outcomes.

NEW QUESTION # 64
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution.
Choose two.)

A. By opening the relevant tabs in your IDE
B. By adding the full file paths to your prompt of important files
C. By adding the important files to your .gitconfig
D. By adding relevant code snippets to your prompt

Answer: A,D

Explanation:
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.

NEW QUESTION # 65
What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?

A. By tweeting at GitHub's official X (previously known as Twitter) account.
B. Use the emojis in the Copilot Chat interface.
C. The Settings menu in the GitHub Mobile app.
D. The feedback section on the GitHub website.

Answer: B

Explanation:
The best way to share feedback on GitHub Mobile is using the emojis in the Copilot Chat interface, which allows for direct and immediate feedback.

NEW QUESTION # 66
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