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| Section | Weight | Objectives |
|---|
| Topic 1: Prompt Engineering and Context Crafting | | - Effective prompting techniques
- 1. Context optimization for code generation
- 2. Zero-shot and few-shot prompting
|
| Topic 2: Developer Productivity with Copilot | | - Workflow optimization
- 1. Using Copilot in IDE workflows
- 2. Debugging and code completion enhancement
|
| Topic 3: Responsible AI | 7% | - Explain responsible usage of AI
- 1. Validating AI-generated output
- 2. Bias, privacy, security, and transparency considerations
- 3. Ethical AI practices and mitigation of harm
- 4. Risks and limitations of generative AI
|
| Topic 4: GitHub Copilot Data, Privacy, and Architecture | | - Data handling and privacy safeguards
- 1. Data usage and retention considerations
- 2. Content exclusions and enterprise controls
|
| Topic 5: GitHub Copilot Plans and Features | 31% | - Copilot plans comparison
- 1. Copilot Individual vs Business vs Enterprise
- 2. IDE integration and Copilot Chat usage
- Core Copilot features
- 1. Chat-based assistance
- 2. CLI and multi-suggestion workflows
- 3. Inline code suggestions
|
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GitHub CopilotCertification Exam Sample Questions (Q108-Q113):
NEW QUESTION # 108
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
- A. Fairness
- B. Transparency
- C. Accountability
- D. Inclusiveness
Answer: B
Explanation:
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.
NEW QUESTION # 109
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?
- A. Suggest homogeneous solutions if provided a diverse data set.
- B. Suggest innovative coding solutions that are not yet popular.
- C. Suggest completely novel projects, while reducing time on a project.
- D. Suggest code snippets that reflect the most common practices in the training data.
Answer: D
Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.
NEW QUESTION # 110
Are there any limitations to consider when using GitHub Copilot for code refactoring?
- A. GitHub Copilot always produces bug-free code during refactoring.
- B. GitHub Copilot understands the context of your entire project and refactors code accordingly.
- C. GitHub Copilot can only be used with a limited set of programming languages.
- D. GitHub Copilot may not always produce optimized or best-practice code for refactoring.
Answer: D
Explanation:
GitHub Copilot's refactoring suggestions are generated from patterns in its training data and may not always follow the most optimized or best‑practice implementations. Developers should always review and refine any refactored code it produces to ensure correctness and quality.
NEW QUESTION # 111
What do you check when GitHub Copilot content exclusions are not working? Each correct answer presents part of the solution. (Choose two.)
- A. If GitHub Copilot can connect to the server selected in your user settings.
- B. If the user is in an organization that has content exclusions configured.
- C. If the user is part of the content exclusion team that limits the use of content exclusions.
- D. If the content exclusion settings changed in the last 30 minutes or before that.
Answer: B,D
Explanation:
Verify that the user belongs to an organization (or enterprise) where content exclusion rules have actually been set up.
Check whether the exclusion policy was recently modified - changes can take up to 30ꢀminutes to propagate before they take effect.
NEW QUESTION # 112
How does the /tests slash command assist developers?
- A. Executes test cases to find issues with the code.
- B. Constructs detailed test documentation.
- C. Creates unit tests for the selected code.
- D. Integrates with external testing frameworks.
Answer: C
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 # 113
......
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