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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Improve developer productivity | 10–15 | - Accelerate coding and boilerplate generation - Automate testing, documentation, and refactoring - Optimize workflows and collaboration |
| Topic 2: Use GitHub Copilot features | 25–30 | - Compare GitHub Copilot plans and capabilities - Leverage Copilot Chat and integrations - Use features across IDEs, GitHub, and CLI |
| Topic 3: Understand data and architecture | 10–15 | - Describe data privacy and retention policies - Identify security and compliance controls - Explain how Copilot processes and trains on data |
| Topic 4: Use GitHub Copilot responsibly | 15–20 | - Adhere to ethical guidelines and compliance - Understand responsible AI principles - Manage intellectual property and attribution |
| Topic 5: Configure privacy, exclusions, and security | 10–15 | - Manage enterprise privacy settings - Monitor and audit usage - Set up content exclusions and data controls |
| Topic 6: Apply prompt engineering and context building | 10–15 | - Iterate and refine prompts - Design effective prompts for different tasks - Provide context and constraints to improve output |
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NEW QUESTION # 17
Which GitHub Copilot plan allows for prompt and suggestion collection?
Answer: D
Explanation:
GitHub Copilot Enterprise allows for prompt and suggestion collection, enabling organizations to analyze and improve their usage of the tool.
NEW QUESTION # 18
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?
Answer: C
Explanation:
GitHub Copilot Chat combines its training data, code from user repositories, and external sources like Bing to generate comprehensive and relevant responses to coding questions.
Reference: GitHub Copilot Chat documentation on data sources.
NEW QUESTION # 19
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
Answer: C,D
Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
Reference: GitHub Copilot Chat use cases.
NEW QUESTION # 20
Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?
Answer: C
Explanation:
GitHub Copilot Chat is designed to be a productivity enhancer, not a replacement for human developers. It provides suggestions and assists with coding tasks, but the final decision and validation always rest with the developer. Copilot Chat is meant to augment the developer's workflow, making it faster and more efficient, but it does not remove the need for human oversight and judgment.
NEW QUESTION # 21
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)
Answer: C,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 # 22
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