BEST Verified Microsoft GH-300 Exam Questions (2026)
The Best Practice Test Preparation for the GH-300 Certification Exam
Microsoft GH-300 Exam Syllabus Topics:
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NEW QUESTION # 21
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)
- A. Provide insight on where to get the content from to get a response
- B. Provide all information about the utilized files
- C. Provide links to supporting documentation
- D. Provide specific success criteria
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 # 22
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
- A. Creation of end-to-end performance testing scenarios for a web application
- B. Create a technical requirement specification from the business requirement documentation
- C. Explain a legacy COBOL code and translate the code to another language like Python.
- D. Creation of a unit test scenario for newly developed Python code
Answer: C,D
Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
Reference: GitHub Copilot Chat use cases.
NEW QUESTION # 23
Why is code reviewing still necessary when using GitHub Copilot to write tests?
- A. Because GitHub Copilot can cover all possible scenarios in your test cases.
- B. Because GitHub Copilot replaces the need for manual testing.
- C. Because GitHub Copilot's generated test cases may not cover all possible scenarios.
- D. Because GitHub Copilot generates the best code possible for the test scenario.
Answer: C
Explanation:
Code review is necessary because GitHub Copilot's generated test cases might not cover all possible scenarios, especially edge cases and complex interactions.
Reference: GitHub Copilot testing best practices.
NEW QUESTION # 24
What caution should developers exercise when using GitHub Copilot for assistance with mathematical computations?
- A. GitHub Copilot's ability to execute and verify mathematical results in real-time.
- B. GitHub Copilot's automatic update of outdated mathematical formulas to modern standards.
- C. GitHub Copilot's reliance on pattern-based responses without verifying computation accuracy.
- D. GitHub Copilot's capability to optimize complex mathematical algorithms beyond manual coding.
Answer: C
Explanation:
"Copilot's responses are generated based on patterns in training data and are not guaranteed to be mathematically accurate. Developers must verify calculations independently." This shows that Copilot cannot guarantee correctness in math and relies on patterns, making option C correct.
References: GitHub Copilot responsible use documentation.
NEW QUESTION # 25
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?
- A. GitHub Copilot can design new statistical methods that have not been previously documented.
- B. GitHub Copilot can independently verify the statistical significance of results.
- C. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
- D. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
Answer: C
Explanation:
Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.
NEW QUESTION # 26
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?
- A. Changes to content exclusion settings
- B. Accepted chat suggestions
- C. Code suggestions made by GitHub Copilot
- D. Suggestions blocked by duplication detection filtering
Answer: A
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 # 27
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?
- A. GitHub Copilot Enterprise
- B. GitHub Copilot Business for non-GHE Customers
- C. GitHub Copilot Individual
- D. GitHub Copilot Teams
- E. GitHub Copilot Business
Answer: C
Explanation:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.
NEW QUESTION # 28
When can GitHub Copilot still use content that was excluded using content exclusion?
- A. When the user prompts with @workspace.
- B. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
- C. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
- D. When the repository-level settings allow overrides by the user.
Answer: B
Explanation:
"If excluded content is referenced by non-excluded code, such as through function calls, Copilot may still use that reference context." This confirms that excluded content can indirectly appear if referenced elsewhere.
References: GitHub Copilot content exclusions limitations documentation.
NEW QUESTION # 29
What can be done during AI development to minimize bias?
- A. Improve on the computational efficiency and speed.
- B. Focus on accuracy of the data.
- C. Collect massive amounts of data for training.
- D. Use diverse data, fairness metrics, and human oversight.
Answer: D
Explanation:
"Minimizing bias requires diverse datasets, use of fairness metrics, and human oversight throughout development and deployment." This clearly confirms that the proper approach is a combination of diverse data, fairness metrics, and oversight.
References: Microsoft Responsible AI and GitHub Copilot fairness guidelines.
NEW QUESTION # 30
How does the /tests slash command assist developers?
- A. Creates unit tests for the selected code.
- B. Constructs detailed test documentation.
- C. Integrates with external testing frameworks.
- D. Executes test cases to find issues with the code.
Answer: A
Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.
Reference: GitHub Copilot Chat command documentation.
NEW QUESTION # 31
Which of the following is correct about GitHub Copilot Knowledge Bases?
- A. Indexing is static
- B. It is an Enterprise feature
- C. All repos are indexed
- D. All file types are indexed
Answer: B
Explanation:
GitHub Copilot Knowledge Bases is an Enterprise feature that allows the tool to use an organization's internal documentation and code for more accurate and relevant suggestions.
Reference: GitHub Copilot Enterprise Knowledge Base documentation.
NEW QUESTION # 32
Which GitHub Copilot pricing plans include features that exclude your GitHub Copilot data like usage, prompts, and suggestions from default training GitHub Copilot? (Choose two correct answers.)
- A. GitHub Copilot Individual
- B. GitHub Copilot Business
- C. GitHub Copilot Codespace
- D. GitHub Copilot Enterprise
Answer: B,D
Explanation:
"For Copilot Business and Copilot Enterprise, user data such as code suggestions, prompts, and completions are excluded from training GitHub Copilot's models." This confirms that only Business and Enterprise plans provide this exclusion feature.
References: GitHub Copilot data usage and privacy documentation.
NEW QUESTION # 33
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. GitHub Copilot suggestions are no longer available in the excluded files.
- C. The excluded content is not directly available to GitHub Copilot to use as context.
- D. The IDE will not count coding suggestions in the excluded content.
Answer: B,C
Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.
Reference: GitHub Copilot content exclusion documentation.
NEW QUESTION # 34
effectiveness of GitHub Copilot? (Each correct answer presents part of the solution. Choose two.) 1
1.
blog.yatricloud.com
blog.yatricloud.com
- A. The API can track the acceptance rate of code suggestions accepted and used in the organization.
- B. The API can provide feedback on coding style and standards compliance.
- C. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
- D. The API can refactor your code to improve productivity.
- E. The API can provide Copilot Chat specific suggestions acceptance metrics.
Answer: A,E
Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.
NEW QUESTION # 35
How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?
- A. By managing stakeholder communication and meetings.
- B. By identifying and fixing potential requirement conflicts when using /help.
- C. By providing templates and code snippets that help in documenting requirements.
- D. By automatically generating detailed requirements documents.
Answer: C
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 # 36
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution.
Choose two.)
- A. Limited training data
- B. No biases in code suggestions
- C. Ability to handle complex code structures
- D. Extensive support for all programming languages
Answer: A,C
Explanation:
Exact extracts:
* "GitHub Copilot Chat, like all AI models, is limited by its training data and may not always provide accurate or up-to-date answers." References: GitHub Copilot Chat limitations documentation.
NEW QUESTION # 37
Which GitHub Copilot plan could an Azure DevOps organization use without requiring a GitHub Enterprise license?
- A. GitHub Copilot Individual
- B. GitHub Copilot Enterprise
- C. GitHub Copilot for Azure DevOps
- D. Copilot Teams
Answer: C
Explanation:
"GitHub Copilot for Azure DevOps is available to Azure DevOps organizations without requiring a GitHub Enterprise license." This confirms that Copilot for Azure DevOps is the correct plan for such organizations.
References: GitHub Copilot for Azure DevOps documentation.
NEW QUESTION # 38
What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?
- A. The explanations are dynamically updated based on user feedback.
- B. Reviewing and validating the generated output for accuracy and completeness.
- C. GitHub Copilot Chat uses a static database for generating explanations.
- D. The explanations are primarily derived from user-provided documentation.
Answer: B
Explanation:
While GitHub Copilot Chat can provide helpful explanations and suggestions, it's crucial to review and validate the generated output. Copilot's suggestions are based on its training data, and they may not always be perfectly accurate or complete. Human judgment is essential to ensure the quality and correctness of the code.
NEW QUESTION # 39
What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?
- A. Analyzing the context and structure of the code being written
- B. Running code suggestions through filters designed to detect public code
- C. Comparing suggestions against public code using machine learning.
- D. Reviewing the user's browsing history to identify public repositories
Answer: B
Explanation:
When the public code filter is enabled, GitHub Copilot runs code suggestions through filters designed to detect matches with publicly available code. This helps prevent the generation of code that might infringe on copyright or licensing agreements.
NEW QUESTION # 40
In what ways can GitHub Copilot contribute to the design phase of the Software Development Life Cycle (SDLC)?
- A. GitHub Copilot can independently create a complete software design.
- B. GitHub Copilot can generate user interface (UI) prototypes without prompting.
- C. GitHub Copilot can manage design team collaboration and version control.
- D. GitHub Copilot can suggest design patterns and best practices relevant to the project.
Answer: D
Explanation:
"Copilot can assist in the design phase by suggesting design patterns, frameworks, and best practices relevant to the context of your project." This shows Copilot contributes by offering design-related recommendations, not by independently producing full designs or managing collaboration.
References: GitHub Copilot use case documentation.
NEW QUESTION # 41
How does GitHub Copilot assist developers in reducing the amount of manual boilerplate code they write?
- A. By engaging in real-time collaboration with multiple developers to write boilerplate code.
- B. By predicting future coding requirements and pre-emptively generating boilerplate code.
- C. By suggesting code snippets that can be reused across different parts of the project.
- D. By refactoring the entire codebase to eliminate boilerplate code without developer input.
Answer: C
Explanation:
"Copilot helps reduce boilerplate by suggesting reusable code snippets for repetitive structures across your project." This proves that Copilot saves time by generating reusable snippets, not by preemptively or automatically refactoring entire codebases.
References: GitHub Copilot productivity documentation.
NEW QUESTION # 42
What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?
- A. GitHub Copilot Chat in the IDE
- B. GitHub Copilot duplication detection filter
- C. GitHub Copilot Chat in GitHub Mobile
- D. GitHub Copilot access to Bing
Answer: B
Explanation:
The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.
NEW QUESTION # 43
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 # 44
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