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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.
Topic 2	Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.
Topic 3	GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.

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GitHub CopilotCertification Exam Sample Questions (Q93-Q98):

NEW QUESTION # 93
When using GitHub Copilot Chat to generate boilerplate code for various test types, how can you guide the AI to follow the testing standards of your company?

A. By using specific prompt examples in your chat request.
B. By using a specific setting in GitHub Copilot's configuration.
C. By using a specific command in the terminal.
D. By using a specific slash command in the prompt.

Answer: A

Explanation:
Providing concrete examples of your company's test structure and standards within the prompt steers Copilot Chat to generate boilerplate that aligns with your guidelines.

NEW QUESTION # 94
What is the primary purpose of organization audit logs in GitHub Copilot Business?

A. To assign software licenses within the organization
B. To monitor code conflicts across repositories
C. To monitor administrator activities and actions within the organization
D. To track the number of lines of code suggested by Copilot

Answer: C

Explanation:
Organization audit logs in Copilot Business record administrator actions - such as policy changes and seat assignments - so you can review and verify who made what changes within your organization.

NEW QUESTION # 95
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

A. By using the "/fix" command in GitHub Copilot in-line chat.
B. By running the gh copilot fix command.
C. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
D. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
E. By adding comments to your code and triggering a suggestion.

Answer: D,E

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 # 96
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)

A. Pull Request Diff Analysis
B. Code suggestions
C. Chat
D. Knowledge Base

Answer: B,C

Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.

NEW QUESTION # 97
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)

A. User Engagement Data: Kept for One Year
B. Prompts and Suggestions: Retained for 28 days
C. Prompts and Suggestions: Not retained
D. User Engagement Data: Kept for Two Years

Answer: B,D

Explanation:
For GitHub Copilot Business and Enterprise, prompts and suggestions are retained for 28 days to provide context and improve the service. User engagement data, which includes usage patterns and interactions, is kept for two years. This data retention policy is designed to balance service improvement with user privacy.

NEW QUESTION # 98
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