[May 29, 2026] Genuine GH-300 Exam Dumps New 2026 Microsoft Pratice Exam

New 2026 Realistic GH-300 Dumps Test Engine Exam Questions in here

NEW QUESTION # 73
Why is code reviewing still necessary when using GitHub Copilot to write tests?

• A. Because GitHub Copilot generates the best code possible for the test scenario.
• B. Because GitHub Copilot replaces the need for manual testing.
• C. Because GitHub Copilot can cover all possible scenarios in your test cases.
• D. Because GitHub Copilot's generated test cases may not cover all possible scenarios.

Answer: D

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 # 74
What two options navigate to configure duplicate detection? (Each correct answer presents part of the solution. Choose two.)

• A. User settings # Copilot # Policies
• B. Organization settings # Copilot # Policies
• C. Repository settings # Copilot # Policies
• D. Enterprise settings # Copilot # Policies

Answer: B,D

Explanation:
"Duplicate detection and blocking of public code matches can be configured by enterprise administrators in enterprise or organization-level Copilot policies." This confirms that enterprise and organization settings are the correct paths.
References: GitHub Copilot policy configuration documentation.

NEW QUESTION # 75
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

• A. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
• B. By running the gh copilot fix command.
• C. By using the "/fix" command in GitHub Copilot in-line chat.
• D. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
• E. By adding comments to your code and triggering a suggestion.

Answer: A,E

Explanation:
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.

NEW QUESTION # 76
What is a limitation of content exclusions?

• A. Content exclusions are only available in the GitHub Copilot Individual plan.
• B. Repository administrators and organization owners cannot manage content exclusion settings.
• C. Content exclusions can be worked around as it is only available for Git repositories.
• D. Content exclusions can only be configured by an enterprise administrator.

Answer: C

Explanation:
A limitation is that content exclusions are only available for Git repositories, meaning they can be worked around if content is accessed through other means.

NEW QUESTION # 77
What caution should developers exercise when using GitHub Copilot for assistance with mathematical computations?

• A. GitHub Copilot's capability to optimize complex mathematical algorithms beyond manual coding.
• B. GitHub Copilot's reliance on pattern-based responses without verifying computation accuracy.
• C. GitHub Copilot's ability to execute and verify mathematical results in real-time.
• D. GitHub Copilot's automatic update of outdated mathematical formulas to modern standards.

Answer: B

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 # 78
In what ways can GitHub Copilot contribute to the design phase of the Software Development Life Cycle (SDLC)?

• A. GitHub Copilot can manage design team collaboration and version control.
• B. GitHub Copilot can generate user interface (UI) prototypes without prompting.
• C. GitHub Copilot can suggest design patterns and best practices relevant to the project.
• D. GitHub Copilot can independently create a complete software design.

Answer: C

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 # 79
How does GitHub Copilot Chat help in understanding the existing codebase?

• A. By answering questions about the code and generating explanations.
• B. By automatically refactoring code to improve readability.
• C. By providing visual diagrams of the code structure.
• D. By running code linters and formatters.

Answer: A

Explanation:
GitHub Copilot Chat helps in understanding existing codebases by answering questions about the code and generating explanations. This allows developers to quickly grasp the functionality and structure of unfamiliar code.
Reference: GitHub Copilot Chat documentation on code understanding.

NEW QUESTION # 80
What is the correct way to access the audit log events for GitHub Copilot Business?

• A. Use the Code tab in the GitHub repository
• B. Navigate to the Insights tab in the repository settings
• C. Navigate to the Security tab in the organization's GitHub settings
• D. Use the Audit log section in the organization's GitHub settings

Answer: D

Explanation:
Audit log events for GitHub Copilot Business can be accessed through the Audit log section within the organization's GitHub settings. This log provides a record of activities related to Copilot usage and configuration.
Reference: GitHub Copilot Business documentation on audit logs.

NEW QUESTION # 81
When crafting prompts for GitHub Copilot, what is a recommended strategy to enhance the relevance of the generated code?

• A. Provide examples of expected input and output within the prompt.
• B. Write the prompt in natural language without any programming language.
• C. Keep the prompt as short as possible, using single words or brief phrases.
• D. Avoid mentioning the programming language to allow for more flexible suggestions.

Answer: A

Explanation:
"To get the best results from GitHub Copilot, provide clear prompts and, when possible, include examples of expected input and output." This establishes that including examples is a recommended prompt engineering strategy.
References: GitHub Copilot prompt engineering documentation.

NEW QUESTION # 82
What is the impact of the "Fill-In-the-Middle" (FIM) technique on GitHub Copilot's code suggestions?

• A. Improves suggestions by considering both the prefix and suffix of the code, filling in the middle part more accurately.
• B. Restricts Copilot to use only external databases for generating code suggestions.
• C. Ignores both the prefix and suffix of the code, focusing only on user comments for context.
• D. Allows Copilot to generate suggestions based only on the prefix of the code.

Answer: A

Explanation:
"Fill-in-the-Middle (FIM) enables Copilot to consider both prefix and suffix code, generating more accurate suggestions for the missing middle portion." This makes option D correct, as it explains how FIM enhances suggestion accuracy.
References: GitHub Copilot model training and FIM technique documentation.

NEW QUESTION # 83
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.)

• A. "Suggest ways to enhance the maintainability of this code segment."
• B. "Refactor my application to meet the latest coding standards."
• C. "Show me how to improve the readability of this function."
• D. "Predict future coding trends and update my codebase accordingly."

Answer: A,C

Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.

NEW QUESTION # 84
What is the correct way to access the audit log events for GitHub Copilot Business?

• A. Use the Code tab in the GitHub repository
• B. Navigate to the Insights tab in the repository settings
• C. Navigate to the Security tab in the organization's GitHub settings
• D. Use the Audit log section in the organization's GitHub settings

Answer: D

Explanation:
Audit log events for GitHub Copilot Business can be accessed through the Audit log section within the organization's GitHub settings. This log provides a record of activities related to Copilot usage and configuration.

NEW QUESTION # 85
Which of the following is correct about GitHub Copilot Knowledge Bases?

• A. It is an Enterprise feature
• B. All file types are indexed
• C. Indexing is static
• D. All repos are indexed

Answer: A

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 # 86
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.)

• A. Chat
• B. Code suggestions
• C. Pull Request Diff Analysis
• D. Knowledge Base

Answer: A,B

Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.
Reference: GitHub Copilot Individual features documentation.

NEW QUESTION # 87
What GitHub Copilot configuration needs to be enabled to protect against IP infringements?

• A. Blocking public code matches
• B. Allowing license check configuration
• C. Allowing public code matches
• D. Blocking license check configuration

Answer: A

Explanation:
"By default, suggestions matching public code are allowed, but you can choose to block public code matches.
This setting can be enabled to reduce the risk of intellectual property infringement." This shows that enabling "Blocking public code matches" is the configuration required to protect against IP issues.
References: GitHub Copilot configuration settings documentation.

NEW QUESTION # 88
What are the additional checks that need to pass before the GitHub Copilot responses are submitted to the user? (Each correct answer presents part of the solution. Choose two.)

• A. Code quality
• B. Suggestions matching public code (optional based on settings)
• C. Performance benchmarking
• D. Compatibility with user-specific settings

Answer: A,B

Explanation:
Exact extracts:
* "Copilot applies post-processing checks for code quality to ensure that responses meet baseline standards." References: GitHub Copilot safeguards documentation.

NEW QUESTION # 89
How does GitHub Copilot utilize chat history to enhance its code completion capabilities?

• A. By sharing chat history with third-party services to improve integration and functionality.
• B. By logging chat history to monitor user activity and ensure compliance with coding standards.
• C. By analyzing past chat interactions to identify common programming patterns and errors.
• D. By using chat history to offer personalized code snippets based on previous prompts.

Answer: C

Explanation:
"GitHub Copilot Chat can reference the ongoing conversation history to analyze patterns, common coding styles, and errors, providing more accurate and contextual suggestions." This demonstrates that chat history is used to identify patterns and enhance contextual accuracy, making option C correct.
References: GitHub Copilot Chat documentation.

NEW QUESTION # 90
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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	Privacy Fundamentals and Context Exclusions: This domain focuses on Security Engineers and Compliance Officers and addresses improving code quality with Copilot’s test suggestions and security optimizations. It covers identification of security vulnerabilities, performance enhancements, and privacy features like content exclusions at repository and organization levels with explanation of their limitations. Candidates learn about safeguarding mechanisms such as duplication detection, contractual protections, security checks, and troubleshooting guide for common Copilot issues including context exclusions and suggestion gaps.
Topic 3	How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.

 

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