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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: GitHub Copilot Plans and Features | 31% | - Copilot Chat and code suggestion capabilities - Configuration options and productivity features - IDE integration (VS Code, Visual Studio, JetBrains) - Implementing and managing Copilot plans for an organization - Differences between Copilot Individual, Business, and Enterprise plans |
| Topic 2: Responsible AI with GitHub Copilot | 7% | - Validating AI output and mitigation strategies - Privacy and transparency considerations - Ethical AI principles and responsible use - Bias and fairness in AI-generated code - Risks and limitations of generative AI tools |
| Topic 3: Developer Use Cases for AI | 14% | - Debugging applications - SDLC support and productivity insights - Learning new languages and frameworks - Code generation and refactoring - Documentation generation - Automating repetitive development tasks |
| Topic 4: Privacy Fundamentals and Context Exclusions | 15% | - Effects and limitations of content exclusions - Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot - Content exclusions at repository and organization level - Ownership of AI-generated outputs - Safeguards: duplication detector, contractual protection, data collection settings |
| Topic 5: Prompt Engineering and AI Interaction | 9% | - Crafting and refining prompts (prompt engineering) - Refining prompts for better coding results - Creating effective prompts - Improving Copilot responses using context |
| Topic 6: Testing with GitHub Copilot | 9% | - Generating unit tests and integration tests - Improving test coverage with AI suggestions - Identifying edge cases - Editor configuration and org-level suggestion settings |
| Topic 7: How GitHub Copilot Works and Handles Data | 15% | - Privacy and data handling within Copilot - Understanding that private repository content is not used to train models - The prompt creation process - AI model response generation - How Copilot gathers code context |
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NEW QUESTION # 111
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)
Answer: B,D
Explanation:
GitHub Copilot Individual is billed as a monthly or annual subscription.
Reference: GitHub Copilot Individual pricing.
NEW QUESTION # 112
Where can you validate if GitHub Copilot is not returning suggestions because of content exclusions?
Answer: B
Explanation:
Exact extracts:
* "When a file is affected by a content exclusion setting, GitHub Copilot will not suggest code completion in that file..." References: GitHub Copilot official troubleshooting documentation on content exclusions.
NEW QUESTION # 113
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
Answer: B,D
Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
NEW QUESTION # 114
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?
Answer: B
Explanation:
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.
Reference: GitHub Copilot documentation on IP protection and code filtering.
NEW QUESTION # 115
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?
Answer: B
Explanation:
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.
NEW QUESTION # 116
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