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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
Responsible AI	7%	- Explain responsible usage of AI 1. Risks and limitations of generative AI 2. Validating AI-generated output 3. Bias, privacy, security, and transparency considerations 4. Ethical AI practices and mitigation of harm
Prompt Engineering and Context Crafting		- Effective prompting techniques 1. Context optimization for code generation 2. Zero-shot and few-shot prompting
GitHub Copilot Plans and Features	31%	- Core Copilot features 1. CLI and multi-suggestion workflows 2. Chat-based assistance 3. Inline code suggestions - Copilot plans comparison 1. IDE integration and Copilot Chat usage 2. Copilot Individual vs Business vs Enterprise
Developer Productivity with Copilot		- Workflow optimization 1. Debugging and code completion enhancement 2. Using Copilot in IDE workflows
GitHub Copilot Data, Privacy, and Architecture		- Data handling and privacy safeguards 1. Data usage and retention considerations 2. Content exclusions and enterprise controls

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GitHub CopilotCertification Exam Sample Questions (Q94-Q99):

NEW QUESTION # 94
Which of the following steps correctly demonstrates how to establish an organization-wide policy for GitHub Copilot Business to restrict its use to certain repositories?

A. Create a copilot.policy in the .github repository
B. Apply policies through the GitHub Actions configuration
C. Configure the policies in the organization settings
D. Create a copilot.policy file in each repository

Answer: C

Explanation:
Organization-wide Copilot Business policies are set up in your GitHub organization's settings, where you can specify exactly which repositories are allowed or blocked for Copilot access.

NEW QUESTION # 95
What is a benefit of using custom models in GitHub Copilot?

A. Responses are faster to produce and appear sooner
B. Responses use practices and patterns in your repositories
C. Responses are guaranteed to be correct
D. Responses use the organization's LLM engine

Answer: B

Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and practices within your repositories. This results in suggestions that are more aligned with your organization's coding standards and conventions, improving the relevance and accuracy of the generated code.

NEW QUESTION # 96
What are the effects of content exclusions? (Each correct answer presents part of the solution. Choose two.)

A. The excluded content is no longer used while debugging the code.
B. The IDE will not count coding suggestions in the excluded content.
C. GitHub Copilot suggestions are no longer available in the excluded files.
D. The excluded content is not directly available to GitHub Copilot to use as context.

Answer: C,D

Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.

NEW QUESTION # 97
How can users provide feedback about GitHub Copilot Chat using their IDE?

A. By posting on the GitHub forums.
B. By filling out a feedback form on the GitHub website.
C. By emailing the support team directly.
D. Through the "Share Feedback" button in the Copilot Chat panel.

Answer: D

Explanation:
In supported IDEs (e.g., Visual Studio or JetBrains), you can click the "Share Feedback" (or
"Send feedback") button directly in the Copilot Chat panel to submit likes, dislikes, and comments on any response.

NEW QUESTION # 98
What is one of the recommended practices when using GitHub Copilot Chat to enhance code quality?

A. Disable Copilot's inline suggestions.
B. Rely solely on Copilot's suggestions without reviewing them.
C. Regularly review and refactor the code suggested by Copilot.
D. Avoid using Copilot for complex tasks.

Answer: C

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 # 99
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