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  1. Home
  2. GitHub Certification
  3. GitHub-Copilot Exam
  4. GitHub.GitHub-Copilot.v2026-10-17.q54 Dumps
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Question 16

A large enterprise wants to enhance the code assistance support for their developers by incorporating internal code standards and best practices into GitHub Copilot. The IT team is also looking for scalable AI assistance with enterprise-level data management and governance. Which of the following plans can best accommodate this requirement?

Correct Answer: C
GitHub Copilot Enterprise includes support for private Knowledge Bases, which enables integration of internal documentation, best practices, and custom code snippets. It also supports enterprise-grade governance, security, and policy enforcement features-ideal for large organizations.
Reference:
https://learn.microsoft.com/en-us/training/modules/github-Copilot-management-and-customizations/2-explore-github-Copilot-plans-associated-management-customization- features?ns-enrollment-type=learningpath&ns-enrollment-id=learn.github-Copilot
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Question 17

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

Correct Answer: A,E
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.
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Question 18

What role does chat history play in GitHub Copilot's code suggestions?

Correct Answer: B
Chat history provides valuable context to GitHub Copilot, helping it generate more relevant and accurate code suggestions based on previous interactions and conversations.
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Question 19

What is used by GitHub Copilot in the IDE to determine the prompt context?

Correct Answer: A
Copilot gathers context directly from your IDE - including which files or tabs are open, where your cursor is positioned, and any selected code - to tailor its suggestions to exactly where and how you're coding.
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Question 20

What are the different ways to give context to GitHub Copilot to get more precise responses?
Each correct answer presents part of the solution. (Choose two.)

Correct Answer: A,D
Using mentions like @workspace brings the entire repository context (files, branches, etc.) into the chat, helping Copilot Chat tailor its suggestions to your project.
Employing chat variables such as #file and #editors signals exactly which file or editor pane you're referring to, so Copilot can anchor its responses in that specific context.
insert code
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