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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Crafting and Prompt Engineering | 9%–15% | - Designing effective prompts - Iterative improvement and context management |
| Topic 2: Responsible AI | 7%–20% | - Legal and compliance considerations - Ethical and safe use of AI tools |
| Topic 3: How GitHub Copilot Works and Handles Data | 10%–15% | - Context collection and privacy controls - Data processing, retention, and usage policies - Architecture and underlying technology |
| Topic 4: Privacy Fundamentals and Context Exclusions | 15%–20% | - Protecting sensitive information - Configuring context exclusion rules |
| Topic 5: Developer Use Cases for AI | 14%–20% | - Code generation and completion - Refactoring, documentation, and testing - Integration with IDEs and workflows |
| Topic 6: Testing with GitHub Copilot | 9%–15% | - Verifying output quality and correctness - Generating tests and validation |
| Topic 7: GitHub Copilot Plans and Features | 25%–31% | - Configuration and settings - Free, Pro, Business, Enterprise plans - Feature comparison and capabilities |
>> Practical GitHub-Copilot Information <<
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NEW QUESTION # 14
Which Copilot Enterprise features are available in all commercially supported IDEs?
Answer: B,D
Explanation:
Chat: The Copilot Chat pane is integrated into every commercially supported IDE, letting you ask coding questions and get conversational assistance directly in your editor.
Inline suggestions: Real‑time code completions ("inline suggestions") appear as you type in all supported IDEs, providing context‑aware code snippets without leaving your editor.
NEW QUESTION # 15
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)
Answer: C,D,E
Explanation:
The quality of Copilot's suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.
NEW QUESTION # 16
What is the impact of the "Fill-In-the-Middle" (FIM) technique on GitHub Copilot's code suggestions?
Answer: B
Explanation:
The Fill-In-the-Middle technique lets Copilot look at both what comes before and after your cursor, so it can generate the "missing" code between those segments more accurately.
NEW QUESTION # 17
Which of the following are valid and commonly used commands while using GitHub Copilot in the CLI?
Answer: B
Explanation:
gh Copilot explain: Used to get the explanation of code or commands.
gh Copilot suggest: Ask Copilot to provide suggestions for performing a Task.
gh Copilot extension list: Displays all the available extensions and also indicates the proper installation of Copilot.
This set of commands can enable developers to interact with AI from the terminal in a seamless way.
Reference:
https://docs.github.com/en/Copilot/using-github-Copilot/using-github-Copilot-in-the-command-line
NEW QUESTION # 18
What specific function does the '/fix' slash command perform?
Answer: A
Explanation:
The /fix command tells Copilot to examine the selected code, identify syntax or logic issues, and propose corrections - streamlining the process of fixing errors directly in your editor.
NEW QUESTION # 19
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