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| Section | Weight | Objectives |
|---|---|---|
| Privacy Fundamentals and Context Exclusions | 15% | - Effects and limitations of content exclusions - Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot - Ownership of AI-generated outputs - Safeguards: duplication detector, contractual protection, data collection settings - Content exclusions at repository and organization level |
| Prompt Engineering and AI Interaction | 9% | - Improving Copilot responses using context - Refining prompts for better coding results - Creating effective prompts - Crafting and refining prompts (prompt engineering) |
| GitHub Copilot Plans and Features | 31% | - Copilot Chat and code suggestion capabilities - Implementing and managing Copilot plans for an organization - IDE integration (VS Code, Visual Studio, JetBrains) - Differences between Copilot Individual, Business, and Enterprise plans - Configuration options and productivity features |
| Developer Use Cases for AI | 14% | - Documentation generation - SDLC support and productivity insights - Code generation and refactoring - Automating repetitive development tasks - Learning new languages and frameworks - Debugging applications |
| How GitHub Copilot Works and Handles Data | 15% | - The prompt creation process - How Copilot gathers code context - Understanding that private repository content is not used to train models - AI model response generation - Privacy and data handling within Copilot |
| Responsible AI with GitHub Copilot | 7% | - Risks and limitations of generative AI tools - Validating AI output and mitigation strategies - Privacy and transparency considerations - Ethical AI principles and responsible use - Bias and fairness in AI-generated code |
| Testing with GitHub Copilot | 9% | - Editor configuration and org-level suggestion settings - Improving test coverage with AI suggestions - Generating unit tests and integration tests - Identifying edge cases |
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NEW QUESTION # 15
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)
Answer: C,D
Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.
NEW QUESTION # 16
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)
Answer: A,D
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 # 17
What caution should developers exercise when using GitHub Copilot for assistance with mathematical computations?
Answer: A
Explanation:
"Copilot's responses are generated based on patterns in training data and are not guaranteed to be mathematically accurate. Developers must verify calculations independently." This shows that Copilot cannot guarantee correctness in math and relies on patterns, making option C correct.
References: GitHub Copilot responsible use documentation.
NEW QUESTION # 18
What is the correct way to access the audit log events for GitHub Copilot Business?
Answer: C
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.
Reference: GitHub Copilot Business documentation on audit logs.
NEW QUESTION # 19
How long does it take content exclusion to add or be updated?
Answer: B
Explanation:
Content exclusions typically take up to 30 minutes to be added or updated.
NEW QUESTION # 20
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