(2026) PASS GH-300 exam with Microsoft GH-300 Real Exam Questions [Q71-Q86]

(2026) PASS GH-300 exam with Microsoft GH-300 Real Exam Questions

Real exam questions are provided for GitHub Administrator tests, which can make sure you 100% pass

Microsoft GH-300 Exam Syllabus Topics:

Topic	Details
Topic 1	Domain 4: Prompt Crafting and Prompt Engineering This section measures skills of Software Developers and AI Interaction Designers in effectively crafting prompts to optimize Copilot’s output. It reviews foundational concepts such as prompt components, the role of language in prompting, zero-shot vs. few-shot prompting, and how chat history influences responses. Best practices and engineering principles for prompt design and training methods are also covered.
Topic 2	GitHub Copilot Plans and Feature: This domain targets Product Managers and DevOps Engineers and focuses on understanding the various GitHub Copilot subscription plans like Individual, Business, and Enterprise, including distinctions and management features. It covers how Copilot is integrated into IDEs, different triggering methods for code suggestions, organizational policy management, subscription administration via API, and effective use of Copilot Chat and Knowledge Bases. Candidates also learn about CLI usage and configuration.
Topic 3	Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.

 

NEW QUESTION # 71
Where can you validate if GitHub Copilot is not returning suggestions because of content exclusions?

• A. The GitHub Copilot logs on GitHub.com under your user settings
• B. The GitHub Copilot icon in the status bar of the editor will display a message
• C. The GitHub Copilot errors panel in your IDE
• D. The code suggestions window will display a warning message

Answer: B

Explanation:
Exact extracts:
* "When a file is affected by a content exclusion setting, GitHub Copilot will not suggest code completion in that file..." References: GitHub Copilot official troubleshooting documentation on content exclusions.

NEW QUESTION # 72
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

• A. Provide all information about the utilized files
• B. Provide insight on where to get the content from to get a response
• C. Provide specific success criteria
• D. Provide links to supporting documentation

Answer: C,D

Explanation:
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.
Reference: GitHub Copilot prompt engineering best practices.

NEW QUESTION # 73
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

• A. Accepted chat suggestions
• B. Code suggestions made by GitHub Copilot
• C. Changes to content exclusion settings
• D. Suggestions blocked by duplication detection filtering

Answer: C

Explanation:
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.
Reference: GitHub Copilot Business audit logs.

NEW QUESTION # 74
How does GitHub Copilot assist developers in minimizing context switching?

• A. GitHub Copilot allows developers to stay in their IDE.
• B. GitHub Copilot can predict and prevent bugs before they occur.
• C. GitHub Copilot can automatically handle project management tasks.
• D. GitHub Copilot can completely replace the need for human collaboration.

Answer: A

Explanation:
"Copilot reduces the need to switch between documentation, browsers, and editors by bringing suggestions and explanations directly into the IDE." This demonstrates that minimizing context switching comes from enabling developers to stay within their IDE.
References: GitHub Copilot productivity documentation.

NEW QUESTION # 75
How can GitHub Copilot be limited when it comes to suggesting unit tests?

• A. GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.
• B. GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.
• C. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
• D. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.

Answer: B

Explanation:
GitHub Copilot often suggests basic unit tests and may not cover all edge cases or complex integration scenarios, requiring developers to supplement its suggestions.

NEW QUESTION # 76
What is the primary role of the /optimize slash command in Visual Studio?

• A. Summarizes your documentation into more maintainable and readable formats.
• B. Automatically formats the code according to the selected style guide.
• C. Translates code into a more performant language.
• D. Enhances the performance of the selected code by analyzing its runtime complexity.

Answer: D

Explanation:
The /optimize slash command in Visual Studio enhances the performance of the selected code by analyzing its runtime complexity and suggesting improvements.

NEW QUESTION # 77
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

• A. Provide all information about the utilized files
• B. Provide insight on where to get the content from to get a response
• C. Provide specific success criteria
• D. Provide links to supporting documentation

Answer: C,D

Explanation:
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.

NEW QUESTION # 78
How can GitHub Copilot assist in maintaining consistency across your tests?

• A. By writing the implementation code for the function based on context.
• B. By automatically fixing all tests in the code based on the context.
• C. By providing documentation references based on industry best practices.
• D. By identifying a pattern in the way you write tests and suggesting similar patterns for future tests.

Answer: D

Explanation:
"Copilot learns from the patterns in your existing tests and suggests similar structures, which helps maintain consistency across the test suite." This confirms that Copilot supports test consistency through pattern recognition and suggestion.
References: GitHub Copilot testing documentation.

NEW QUESTION # 79
How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?

• A. By automatically generating detailed requirements documents.
• B. By providing templates and code snippets that help in documenting requirements.
• C. By identifying and fixing potential requirement conflicts when using /help.
• D. By managing stakeholder communication and meetings.

Answer: B

Explanation:
GitHub Copilot can assist during the requirements analysis phase by providing templates and code snippets that aid in documenting requirements. This helps streamline the process of capturing and organizing project requirements.

NEW QUESTION # 80
How does GitHub Copilot suggest code optimizations for improved performance?

• A. By analyzing the codebase and suggesting more efficient algorithms or data structures.
• B. By enforcing strict coding standards that ensure optimal performance.
• C. By providing detailed reports on the performance of the codebase.
• D. By automatically rewriting the codebase to use more efficient code.

Answer: A

Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.
Reference: GitHub Copilot code optimization documentation.

NEW QUESTION # 81
Which of the following describes role prompting?

• A. Tell GitHub Copilot in what tone of voice it should respond
• B. Giving GitHub Copilot multiple examples of the form of the data you want to use
• C. Describing in your prompt what your role is to get a better suggestion
• D. Prompt GitHub Copilot to explain what was the role of a suggestion

Answer: C

Explanation:
Role prompting involves explicitly stating your role or the persona you want GitHub Copilot to adopt within your prompt. This helps Copilot provide more contextually relevant and accurate suggestions. By defining your role (e.g., "As a senior software engineer," "As a technical writer"), you guide Copilot to tailor its responses to align with the expertise and perspective associated with that role. This improves the quality and relevance of the generated code and explanations.

NEW QUESTION # 82
What is zero-shot prompting?

• A. Giving GitHub Copilot examples of the problem you want to solve
• B. Giving as little context to GitHub Copilot as possible
• C. Only giving GitHub Copilot a question as a prompt and no examples
• D. Giving GitHub Copilot examples of the algorithm and outcome you want to use
• E. Telling GitHub Copilot it needs to show only the correct answer

Answer: C

Explanation:
Zero-shot prompting involves asking GitHub Copilot a question or giving a task without providing any examples. This relies on the model's pre-existing knowledge to generate a response.

NEW QUESTION # 83
Which Copilot Enterprise features are available in all commercially supported IDEs?

• A. Inline suggestions
• B. Chat
• C. Knowledge bases
• D. Pull request summaries

Answer: A,B

Explanation:
"Copilot Enterprise provides inline code suggestions and Copilot Chat in all commercially supported IDEs.
Additional features, such as pull request summaries and knowledge bases, are available in GitHub.com." This confirms that inline suggestions and Chat are the features consistently available in IDEs.
References: GitHub Copilot Enterprise feature documentation.

NEW QUESTION # 84
Which of the following statements best describes the impact of GitHub Copilot on the software development process?

• A. It reduces overhead by automating testing workflows.
• B. It replaces the need for developers in the software development process.
• C. It decreases software vulnerabilities from third party dependencies.
• D. It increases productivity by automating repetitive coding tasks.

Answer: D

Explanation:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.
Reference: GitHub Copilot impact documentation.

NEW QUESTION # 85
Select a strategy to increase the performance of GitHub Copilot Chat.

• A. Apply prompt engineering techniques to be more specific
• B. Optimize the usage of memory-intensive operations within generated code
• C. Use a single GitHub Copilot Chat query to find resolutions for the collection of technical requirements
• D. Limit the number of concurrent users accessing GitHub Copilot Chat

Answer: A

Explanation:
Applying prompt engineering techniques to be more specific is the best strategy to increase the performance and relevance of GitHub Copilot Chat's responses.

NEW QUESTION # 86
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