GitHub-Copilot考古題分享 & GitHub-Copilot認證考試解析

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GitHub GitHub-Copilot Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Prompt Crafting and Prompt Engineering | 9%–15% | - Designing effective prompts - Iterative improvement and context management
|
| Testing with GitHub Copilot | 9%–15% | - Generating tests and validation - Verifying output quality and correctness
|
| Responsible AI | 7%–20% | - Ethical and safe use of AI tools - Legal and compliance considerations
|
| How GitHub Copilot Works and Handles Data | 10%–15% | - Data processing, retention, and usage policies - Context collection and privacy controls - Architecture and underlying technology
|
| Developer Use Cases for AI | 14%–20% | - Refactoring, documentation, and testing - Integration with IDEs and workflows - Code generation and completion
|
| GitHub Copilot Plans and Features | 25%–31% | - Configuration and settings - Free, Pro, Business, Enterprise plans - Feature comparison and capabilities
|
| Privacy Fundamentals and Context Exclusions | 15%–20% | - Protecting sensitive information - Configuring context exclusion rules
|
>> GitHub-Copilot考古題分享 <<
GitHub GitHub-Copilot考古題分享 |第一次嘗試輕鬆學習並通過考試GitHub-Copilot:GitHub CopilotCertification Exam
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最新的 GitHub Certification GitHub-Copilot 免費考試真題 (Q87-Q92):
問題 #87
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
- A. Transparency
- B. Fairness
- C. Accountability
- D. Inclusiveness
答案:A
解題說明:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrivesat its decisions and suggestions.
問題 #88
Which GitHub Copilot pricing plans include features that exclude your GitHub Copilot data like usage, prompts, and suggestions from default training GitHub Copilot? (Choose two.)
- A. GitHub Copilot Individual
- B. GitHub Copilot Codespace
- C. GitHub Copilot Business
- D. GitHub Copilot Enterprise
答案:C,D
解題說明:
GitHub Copilot Business and Enterprise plans both include the "data excluded from training by default" feature, ensuring that your prompts, usage data, and suggestions are not used to train GitHub's models.
問題 #89
While working in Visual Studio Code, a developer notices inline code suggestions appearing as they type. The suggestions seem to adapt based on comments and previously written code. What does this behavior best describe about GitHub Copilot in the IDE?
- A. Copilot analyzes comments and context to generate real-time code suggestions tailored for your requirementsright
- B. Copilot uses pre-written or readymade templates to insert common code blocks
- C. Copilot generates suggestions only from previously written code in the current file
- D. Copilot can only operate through command palette triggers, not inline chat
答案:A
解題說明:
GitHub Copilot in IDEs like VS Code works by analyzing the surrounding code and developer comments in real-time. It uses this context to suggest relevant completions, often inline as you type.
Reference:
https://learn.microsoft.com/en-us/training/modules/introduction-to-github-Copilot/3-interacting-with-Copilot
問題 #90
Which of the following statements best describes the impact of GitHub Copilot on the software development process?
- A. It decreases software vulnerabilities from third party dependencies.
- B. It increases productivity by automating repetitive coding tasks.
- C. It replaces the need for developers in the software development process.
- D. It reduces developer overhead by automating testing workflows.
答案:B
解題說明:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.
問題 #91
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?
- A. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
- B. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
- C. GitHub Copilot can independently verify the statistical significance of results.
- D. GitHub Copilot can design new statistical methods that have not been previously documented.
答案:A
解題說明:
Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.
問題 #92
......
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