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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understand data and architecture | 10–15 | - Identify security and compliance controls - Describe data privacy and retention policies - Explain how Copilot processes and trains on data |
| Topic 2: Configure privacy, exclusions, and security | 10–15 | - Monitor and audit usage - Set up content exclusions and data controls - Manage enterprise privacy settings |
| Topic 3: Use GitHub Copilot features | 25–30 | - Use features across IDEs, GitHub, and CLI - Compare GitHub Copilot plans and capabilities - Leverage Copilot Chat and integrations |
| Topic 4: Improve developer productivity | 10–15 | - Accelerate coding and boilerplate generation - Optimize workflows and collaboration - Automate testing, documentation, and refactoring |
| Topic 5: Apply prompt engineering and context building | 10–15 | - Iterate and refine prompts - Provide context and constraints to improve output - Design effective prompts for different tasks |
| Topic 6: Use GitHub Copilot responsibly | 15–20 | - Manage intellectual property and attribution - Adhere to ethical guidelines and compliance - Understand responsible AI principles |
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NEW QUESTION # 12
How do you generate code suggestions with GitHub Copilot in the CLI?
Answer: D
Explanation:
In the CLI, GitHub Copilot generates code suggestions by analyzing code comments. You write comments describing what you want, and Copilot provides relevant code suggestions. You then select the best suggestion from the list.
Reference: GitHub Copilot CLI documentation.
NEW QUESTION # 13
When using an IDE with a supported GitHub Copilot plug-in, which Chat features can be accessed from within the IDE? (Each correct answer presents part of the solution. Choose two.)
Answer: B,C
Explanation:
Exact extracts:
* "In supported IDEs, you can ask Copilot Chat to explain code or suggest improvements." References: GitHub Copilot Chat IDE integration documentation.
NEW QUESTION # 14
How does GitHub Copilot Chat ensure that a function works correctly?
Answer: D
Explanation:
GitHub Copilot Chat can suggest assertions based on the code's context and semantics to help developers verify the correctness of their functions. These assertions serve as checks that the function behaves as expected under various conditions.
NEW QUESTION # 15
Which of the following describes role prompting?
Answer: A
Explanation:
Role prompting involves explicitly stating your role or the persona you want GitHub Copilot to adopt within your prompt. This helps Copilot provide more contextually relevant and accurate suggestions. By defining your role (e.g., "As a senior software engineer," "As a technical writer"), you guide Copilot to tailor its responses to align with the expertise and perspective associated with that role. This improves the quality and relevance of the generated code and explanations.
NEW QUESTION # 16
When can GitHub Copilot still use content that was excluded using content exclusion?
Answer: B
Explanation:
"If excluded content is referenced by non-excluded code, such as through function calls, Copilot may still use that reference context." This confirms that excluded content can indirectly appear if referenced elsewhere.
References: GitHub Copilot content exclusions limitations documentation.
NEW QUESTION # 17
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