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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: How GitHub Copilot Works and Handles Data | 10%–15% | - Architecture and underlying technology - Context collection and privacy controls - Data processing, retention, and usage policies |
| Topic 2: Privacy Fundamentals and Context Exclusions | 15%–20% | - Protecting sensitive information - Configuring context exclusion rules |
| Topic 3: Developer Use Cases for AI | 14%–20% | - Integration with IDEs and workflows - Code generation and completion - Refactoring, documentation, and testing |
| 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% | - Iterative improvement and context management - Designing effective prompts |
| Topic 6: Testing with GitHub Copilot | 9%–15% | - Verifying output quality and correctness - Generating tests and validation |
| Topic 7: Responsible AI | 7%–20% | - Legal and compliance considerations - Ethical and safe use of AI tools |
>> GitHub GitHub-Copilot Exam Lab Questions <<
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NEW QUESTION # 17
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)
Answer: B,C
Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.
NEW QUESTION # 18
How does the /tests slash command assist developers?
Answer: D
Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.
NEW QUESTION # 19
You're introducing a new team member to GitHub Copilot. They ask you about the different ways to interact with or trigger Copilot's suggestions. Which of the following methods are valid ways to use or activate GitHub Copilot?
Answer: B,C,D,E
Explanation:
GitHub Copilot is designed to monitor developer input in real time. When a user writes a comment or starts typing code, Copilot predicts the intent and generates relevant suggestions inline. This method is particularly useful for quickly completing code blocks or writing repetitive logic.
Copilot Chat allows users to ask natural language questions directly in their IDE. This is useful for getting explanations, asking for code snippets, or even requesting refactoring suggestions - all within a conversational UI powered by generative AI.
GitHub Copilot supports the ability to trigger multiple suggestions at once. For example, by using shortcuts like Ctrl + Enter in Visual Studio Code, developers can cycle through multiple completions, improving the quality of the final code by choosing the most suitable option.
GitHub Copilot CLI allows users to leverage Copilot's assistance directly from the terminal. It can generate shell commands, explain terminal errors, or help write automation scripts, making it a powerful tool for command-line-focused developers.
Reference:
https://learn.microsoft.com/en-us/training/modules/introduction-to-github-Copilot/3-interacting-with-Copilot
NEW QUESTION # 20
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)
Answer: B,C
Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.
NEW QUESTION # 21
A team is using GitHub Copilot Individual in their daily development activities. They need to exclude specific files from being used to inform code completion suggestions. How can they achieve this?
Answer: C
Explanation:
Content exclusion (the ability to block specific files from influencing Copilot's suggestions) isn't available on the Individual plan. You must be on a business‑level subscription - e.g. GitHub Copilot Business - to use content exclusion settings.
NEW QUESTION # 22
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