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GitHub GitHub-Copilot Exam Syllabus Topics:

SectionWeightObjectives
Testing with GitHub Copilot9%–15%- Generating tests and validation
- Verifying output quality and correctness
GitHub Copilot Plans and Features25%–31%- Feature comparison and capabilities
- Free, Pro, Business, Enterprise plans
- Configuration and settings
Prompt Crafting and Prompt Engineering9%–15%- Designing effective prompts
- Iterative improvement and context management
Privacy Fundamentals and Context Exclusions15%–20%- Protecting sensitive information
- Configuring context exclusion rules
How GitHub Copilot Works and Handles Data10%–15%- Architecture and underlying technology
- Data processing, retention, and usage policies
- Context collection and privacy controls
Responsible AI7%–20%- Ethical and safe use of AI tools
- Legal and compliance considerations
Developer Use Cases for AI14%–20%- Code generation and completion
- Refactoring, documentation, and testing
- Integration with IDEs and workflows

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GitHub CopilotCertification Exam Sample Questions (Q88-Q93):

NEW QUESTION # 88
What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Answer: A,B

Explanation:
GitHub Copilot can generate sample data by creating fictitious information based on patterns in its training data and by using suggestions based on API documentation within the repository.


NEW QUESTION # 89
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)

Answer: B,D

Explanation:
The REST API endpoints are used to add and remove teams from the Copilot Business subscription within an organization.


NEW QUESTION # 90
Identify the steps involved in the life cycle of a GitHub Copilot code suggestion? Each correct answer presents part of the solution. (Choose two.)

Answer: C,E

Explanation:
GitHub Copilot begins by capturing your current editing context - such as surrounding code, comments, and cursor position - and then feeds that into its AI model to generate code suggestions tailored to what you're working on.


NEW QUESTION # 91
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

Answer: C

Explanation:
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.


NEW QUESTION # 92
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

Answer: B,C,D

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 # 93
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