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| Section | Weight | Objectives |
|---|
| Topic 1: Responsible AI | 7%–20% | - Ethical and safe use of AI tools - Legal and compliance considerations
|
| Topic 2: How GitHub Copilot Works and Handles Data | 10%–15% | - Data processing, retention, and usage policies - Context collection and privacy controls - Architecture and underlying technology
|
| Topic 3: Testing with GitHub Copilot | 9%–15% | - Verifying output quality and correctness - Generating tests and validation
|
| Topic 4: GitHub Copilot Plans and Features | 25%–31% | - Configuration and settings - Feature comparison and capabilities - Free, Pro, Business, Enterprise plans
|
| Topic 5: Prompt Crafting and Prompt Engineering | 9%–15% | - Designing effective prompts - Iterative improvement and context management
|
| Topic 6: Developer Use Cases for AI | 14%–20% | - Integration with IDEs and workflows - Refactoring, documentation, and testing - Code generation and completion
|
| Topic 7: Privacy Fundamentals and Context Exclusions | 15%–20% | - Protecting sensitive information - Configuring context exclusion rules
|
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GitHub CopilotCertification Exam Sample Questions (Q74-Q79):
NEW QUESTION # 74
Are there any limitations to consider when using GitHub Copilot for code refactoring?
- A. GitHub Copilot may not always produce optimized or best-practice code for refactoring.
- B. GitHub Copilot can only be used with a limited set of programming languages.
- C. GitHub Copilot always produces bug-free code during refactoring.
- D. GitHub Copilot understands the context of your entire project and refactors code accordingly.
Answer: A
Explanation:
GitHub Copilot's refactoring suggestions are generated from patterns in its training data and may not always follow the most optimized or best‑practice implementations. Developers should always review and refine any refactored code it produces to ensure correctness and quality.
NEW QUESTION # 75
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)
- A. Prompts and Suggestions: Not retained
- B. User Engagement Data: Kept for Two Years
- C. Prompts and Suggestions: Retained for 28 days
- D. User Engagement Data: Kept for One Year
Answer: B,C
Explanation:
For GitHub Copilot Business and Enterprise, prompts and suggestions are retained for 28 days to provide context and improve the service. User engagement data, which includes usage patterns and interactions, is kept for two years. This data retention policy is designed to balance service improvement with user privacy.
NEW QUESTION # 76
Which of the following is the correct way to access the audit log events for GitHub Copilot Business?
- A. Use the Code tab in the GitHub repository
- B. Use the Audit log section in the organization's GitHub settings
- C. Navigate to the Security tab in the organization's GitHub settings
- D. Navigate to the Insights tab in the repository settings
Answer: B
Explanation:
Audit log events for GitHub Copilot Business can be accessed through the Audit log section within the organization's GitHub settings. This log provides a record of activities related to Copilot usage and configuration.
NEW QUESTION # 77
What are the additional checks that need to pass before the GitHub Copilot responses are submitted to the user? Each correct answer presents part of the solution. (Choose two.)
- A. Code quality
- B. Suggestions matching public code (optional based on settings)
- C. Performance benchmarking
- D. Compatibility with user-specific settings
Answer: A,B
Explanation:
fter the model generates a suggestion, Copilot runs it through post‑processing filters that test for obvious bugs and security vulnerabilities (Code quality) and, if enabled, block any suggestion that matches public repository code over ~150 characters (Suggestions matching public code) before returning it to the user.
NEW QUESTION # 78
In which of the following scenarios is GitHub Copilot Chat most effectively utilized?
- A. Viewing repository audit logs
- B. Generating pull request summaries
- C. Asking questions about project-specific code behaviorright
- D. Configuring organization-wide access controls
Answer: C
Explanation:
GitHub Copilot Chat excels at providing context-aware assistance directly within the developer's IDE. When a developer asks a question about a function, class, or logic in their codebase, Copilot Chat can interpret the context and offer accurate, helpful responses, such as explanations of what a piece of code does, how to refactor it, or how to fix an error. This makes it particularly effective for in-the-moment learning and debugging during software development.
Reference:
https://docs.github.com/en/Copilot/about-github-Copilot/what-is-github-Copilot#Copilot-features
NEW QUESTION # 79
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