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Updated Aug-2026 Pass GH-300 Exam – Real Practice Test Questions [Q53-Q67]
GH-300, Microsoft

Updated Aug-2026 Pass GH-300 Exam – Real Practice Test Questions [Q53-Q67]

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Updated Aug-2026 Pass GH-300 Exam – Real Practice Test Questions

Download Free Microsoft GH-300 Real Exam Questions

Microsoft GH-300 Exam Syllabus Topics:

Section Weight Objectives
Testing with GitHub Copilot 9% – Generating unit tests and integration tests
– Improving test coverage with AI suggestions
– Editor configuration and org-level suggestion settings
– Identifying edge cases
Prompt Engineering and AI Interaction 9% – Crafting and refining prompts (prompt engineering)
– Creating effective prompts
– Improving Copilot responses using context
– Refining prompts for better coding results
Responsible AI with GitHub Copilot 7% – Privacy and transparency considerations
– Bias and fairness in AI-generated code
– Ethical AI principles and responsible use
– Validating AI output and mitigation strategies
– Risks and limitations of generative AI tools
Developer Use Cases for AI 14% – Learning new languages and frameworks
– Code generation and refactoring
– Automating repetitive development tasks
– Debugging applications
– Documentation generation
– SDLC support and productivity insights
How GitHub Copilot Works and Handles Data 15% – How Copilot gathers code context
– The prompt creation process
– Understanding that private repository content is not used to train models
– AI model response generation
– Privacy and data handling within Copilot
GitHub Copilot Plans and Features 31% – Copilot Chat and code suggestion capabilities
– IDE integration (VS Code, Visual Studio, JetBrains)
– Differences between Copilot Individual, Business, and Enterprise plans
– Implementing and managing Copilot plans for an organization
– Configuration options and productivity features
Privacy Fundamentals and Context Exclusions 15% – Safeguards: duplication detector, contractual protection, data collection settings
– Content exclusions at repository and organization level
– Ownership of AI-generated outputs
– Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot
– Effects and limitations of content exclusions

 

QUESTION 53
What is a benefit of using custom models in GitHub Copilot?

 
 
 
 

QUESTION 54
What is the correct way to access the audit log events for GitHub Copilot Business?

 
 
 
 

QUESTION 55
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

 
 
 
 

QUESTION 56
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)

 
 
 
 

QUESTION 57
How does GitHub Copilot suggest code optimizations for improved performance?

 
 
 
 

QUESTION 58
When can GitHub Copilot still use content that was excluded using content exclusion?

 
 
 
 

QUESTION 59
You start GitHub Copilot CLI from a directory named /repo/app. You store test files in a directory named
/repo/tests.
You need to add /repo/tests as a trusted directory without restarting GitHub Copilot CLI. The solution must ensure that GitHub Copilot can access and modify the files.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

QUESTION 60
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

 
 
 
 

QUESTION 61
What do you check when GitHub Copilot content exclusions are not working? (Each correct answer presents part of the solution. Choose two.)

 
 
 
 

QUESTION 62
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.)

 
 
 
 

QUESTION 63
How can GitHub Copilot assist with code refactoring tasks?

 
 
 
 

QUESTION 64
Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?

 
 
 
 

QUESTION 65
What can be done during AI development to minimize bias?

 
 
 
 

QUESTION 66
What is zero-shot prompting?

 
 
 
 
 

QUESTION 67
Which GitHub Copilot plan allows for prompt and suggestion collection?

 
 
 
 

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