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GitHub GitHub-Copilot Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Improve Developer Productivity10-15%- Agent workflows, productivity, SDLC integration
Topic 2: GitHub Copilot Features25-30%- Multi-model, Agent Mode, Mission Control, BYOK
Topic 3: Responsible AI15-20%- Ethics, validation, bias mitigation, transparency
Topic 4: Understand GitHub Copilot Data and Architecture10-15%- Pipeline, MCP, context gathering, data handling
Topic 5: Configure Privacy, Exclusions, Safeguards10-15%- Agent permissions, content exclusions, org policies
Topic 6: Apply Prompt Engineering and Context10-15%- Model-specific prompting, context files, best practices

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GitHub CopilotCertification Exam Sample Questions (Q77-Q82):

NEW QUESTION # 77
Which of the following is correct about GitHub Copilot Knowledge Bases?

Answer: C

Explanation:
GitHub Copilot Knowledge Bases is an Enterprise feature that allows the tool to use an organization's internal documentation and code for more accurate and relevant suggestions.


NEW QUESTION # 78
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

Answer: C


NEW QUESTION # 79
How does GitHub Copilot typically handle code suggestions that involve deprecated features or syntax of programming languages?

Answer: B

Explanation:
GitHub Copilot generates suggestions from patterns in its training corpus, so if deprecated syntax or features were part of that data, it can still propose them-developers must review and update any outdated code.


NEW QUESTION # 80
What is one of the recommended practices when using GitHub Copilot Chat to enhance code quality?

Answer: D

Explanation:
Regularly reviewing and refactoring Copilot's output helps ensure that generated code adheres to your project's quality standards and catches any issues early.


NEW QUESTION # 81
Which Copilot Enterprise features are available in all commercially supported IDEs?

Answer: A,B

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 # 82
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