Free Microsoft GH-300 Exam Questions

Become Microsoft Certified with updated GH-300 exam questions and correct answers

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Total 482 Questions | Updated On: Sep 22, 2026

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Question 1

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.)

A : Utilize to interpret developer ' s thoughts and intentions without any code or comments.

B : Engage with chat participants such as @workspace to incorporate collaborative context into theresponses.

C : Access developer ' s previous projects and code repositories to understand their coding style withoutexplicit permission.

D : Utilize chat variables like *file to anchor the conversation within the specific context of the files oreditors in use.

Answer: B,D

Question 2

You are working on a project to build a loan approval system for a bank using GitHub Copilot to speed up development. The system will be used to make important financial decisions, and your company is focused on ensuring Responsible AI usage. What steps should you take to ensure transparency and accountability when using Copilot for this project?

A : Allow Copilot to suggest code but ensure all suggestions are logged and reviewed during code audits to maintain transparency and ensure accountability.

B : Document every decision Copilot makes during code generation and flag any code that relates to sensitive areas like loan eligibility criteria.

C : Since Copilot-generated code is likely compliant with industry standards, you don’t need to perform additional logging or auditing of AI-generated code.

D : Rely on Copilot’s code suggestions without documenting how the generated code was used, as the system’s focus is on speeding up development.

Answer: A

Question 3

What types of content can GitHub Copilot Knowledge Base answer questions about? (Each correct answer presents part of the solution. Choose three.)

A : Code snippets

B : Compiled binaries

C : Documentation

D : Design patterns

E : Screenshots

Answer: A,C,D

Question 4

You are using GitHub Copilot for a project, and you begin to wonder how Copilot generates suggestions based on your inputs and ensures that personal or sensitive data is not shared. Your company is concerned about compliance and data privacy, so you are tasked with explaining how Copilot handles your data and what safeguards are in place. Which of the following best explains how GitHub Copilot handles user inputs and ensures data privacy during the suggestion process?

A : GitHub Copilot continuously sends user inputs to the cloud, where they are stored and analyzed for future improvement of the machine learning model.

B : GitHub Copilot sends user inputs, including private code, directly to the cloud-based model, which uses all available data, both public and private, for generating suggestions.

C : GitHub Copilot processes user inputs locally on the developer’s machine and does not send any data to external servers.

D : GitHub Copilot sends user inputs to a proxy service that anonymizes the data and filters out any sensitive information before sending it to the cloud-based model for code suggestions.

Answer: D

Question 5

How can the insights gained from the metrics API be used to improve the development process in conjunction with GitHub Copilot?

A : Real-time debugging and error resolution statistics.

B : Insights on the types of coding languages where GitHub Copilot is most helpful.

C : Automated generation of complete project documentation.

D : Detailed analysis of GitHub Copilot ' s suggestions vs. manual coding.

Answer: D

Page: 1 / 97

Total 482 Questions | Updated On: Sep 22, 2026

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