2026 New Training Course GH-300 Tutorial Preparation Guide
Dumps of GH-300 Cover all the requirements of the Real Exam
Microsoft GH-300 Exam Syllabus Topics:
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NEW QUESTION # 45
When using GitHub Copilot Chat to generate boilerplate code for various test types, how can you guide the AI to follow the testing standards of your company?
- A. By using a specific setting in GitHub Copilot's configuration.
- B. By using a specific slash command in the prompt.
- C. By using a specific command in the terminal.
- D. By using specific prompt examples in your chat request.
Answer: D
Explanation:
"The quality of Copilot Chat responses depends on the clarity and specificity of your prompts. You can guide Copilot to follow organizational standards by including examples or requirements in your request." This means prompt engineering with specific examples is the way to align with company standards.
References: GitHub Copilot Chat best practices documentation.
NEW QUESTION # 46
How do you generate code suggestions with GitHub Copilot in the CLI?
- A. Type out the code snippet # Use the copilot refine command to enhance it # Review the suggested command.
- B. Use gh copilot suggest # Write the command you want # Select the best suggestion from the list.
- C. Write code comments # Press the suggestion shortcut # Select the best suggestion from the list.
- D. Describe the project's architecture # Use the copilot generate command # Accept the generated suggestion.
Answer: B
Explanation:
"To generate a suggestion, run gh copilot suggest, provide your command description, then review and select from the suggestions returned." This confirms the CLI command flow in option C.
References: GitHub Copilot CLI documentation.
NEW QUESTION # 47
Which of the following is correct about GitHub Copilot Knowledge Bases?
- A. All file types are indexed
- B. It is an Enterprise feature
- C. All repos are indexed
- D. Indexing is static
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 # 48
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. When the repository level settings allow overrides by the user.
- D. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
Answer: B
Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.
NEW QUESTION # 49
When using an IDE with a supported GitHub Copilot plug-in, which Chat features can be accessed from within the IDE? (Each correct answer presents part of the solution. Choose two.)
- A. Plan coding tasks
- B. Generate unit tests
- C. Find out about releases and commits
- D. Explain code and suggest improvements
Answer: B,D
Explanation:
Exact extracts:
* "In supported IDEs, you can ask Copilot Chat to explain code or suggest improvements." References: GitHub Copilot Chat IDE integration documentation.
NEW QUESTION # 50
How can GitHub Copilot be limited when it comes to suggesting unit tests?
- A. GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.
- B. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.
- C. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
- D. GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.
Answer: A
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.
Reference: GitHub Copilot testing limitations.
NEW QUESTION # 51
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?
- A. Suggestions matching public code to 'blocked'
- B. Enable GitHub Copilot license checking
- C. You need to check code suggestions yourself before accepting
- D. Enforce blocking of MIT or GPL licensed code
Answer: A
Explanation:
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.
NEW QUESTION # 52
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. When the repository level settings allow overrides by the user.
- D. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
Answer: B
Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.
Reference: GitHub Copilot content exclusion documentation.
NEW QUESTION # 53
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)
- A. It can validate the accuracy of the changes in the pull request.
- B. It automatically merges pull requests after an automated review.
- C. It can answer questions about the changeset of the pull request.
- D. It generates a prose summary and a bulleted list of key changes for pull requests.
Answer: C,D
Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.
NEW QUESTION # 54
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. Performance benchmarking
- B. Suggestions matching public code (optional based on settings)
- C. Code quality
- D. Compatibility with user-specific settings
Answer: B,C
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 # 55
Why might a Generative AI (Gen AI) tool create inaccurate outputs?
- A. The Gen AI tool is experiencing downtime and is not fully recovered.
- B. The training data might contain biases or inconsistencies.
- C. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
- D. The Gen AI tool is overloaded with too many requests at once.
Answer: B
Explanation:
Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.
NEW QUESTION # 56
Which of the following is correct about GitHub Copilot Knowledge Bases?
- A. All file types are indexed
- B. It is an Enterprise feature
- C. All repos are indexed
- D. Indexing is static
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.
NEW QUESTION # 57
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 capability to optimize complex mathematical algorithms beyond manual coding.
- D. GitHub Copilot's reliance on pattern-based responses without verifying computation accuracy.
Answer: D
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 # 58
How does GitHub Copilot Chat help in understanding the existing codebase?
- A. By providing visual diagrams of the code structure.
- B. By automatically refactoring code to improve readability.
- C. By answering questions about the code and generating explanations.
- D. By running code linters and formatters.
Answer: C
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.
NEW QUESTION # 59
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 chat variables like *file to anchor the conversation within the specific context of the files or editors in use.
- B. Utilize to interpret developer's thoughts and intentions without any code or comments.
- C. Engage with chat participants such as @workspace to incorporate collaborative context into the responses.
- D. Access developer's previous projects and code repositories to understand their coding style without explicit permission.
Answer: A,C
Explanation:
Exact extracts:
* "You can give Copilot Chat additional context using variables such as @workspace or @file to scope the conversation." References: GitHub Copilot Chat variables and context documentation.
NEW QUESTION # 60
What types of content can GitHub Copilot Knowledge Base answer questions about? (Each correct answer presents part of the solution. Choose three.)
- A. Documentation
- B. Screenshots
- C. Compiled binaries
- D. Code snippets
- E. Design patterns
Answer: A,D,E
Explanation:
"GitHub Copilot Knowledge Bases allow you to ask questions about your organization's documentation, design patterns, and code snippets." This proves that Copilot Knowledge Base can work with code snippets, documentation, and design patterns, but not binaries or screenshots.
References: GitHub Copilot Enterprise Knowledge Base documentation.
NEW QUESTION # 61
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?
- A. Inclusiveness
- B. Fairness
- C. Reliability and Safety
- D. Privacy and Security
Answer: B
Explanation:
The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.
NEW QUESTION # 62
Which of the following does GitHub Copilot's LLM derive context from when producing a response?
- A. Version control system integrated with the IDE
- B. Syntax highlighting scheme of the code in the IDE
- C. Frequency of commits to the repository
- D. Neighboring or related files within a project
Answer: D
Explanation:
"Copilot may use context from neighboring or related files in the project to improve the accuracy of its suggestions." This confirms that context is enriched with information from related files, making option C correct.
References: GitHub Copilot context derivation documentation.
NEW QUESTION # 63
What is the main purpose of the duplication detection filter in GitHub Copilot?
- A. To encourage the user to follow coding best practices preventing code duplication.
- B. To allow administrators to control which suggestions are visible to developers based on custom criteria.
- C. To compare user-generated code against a private repository for potential matches.
- D. To detect and block suggestions that match public code snippets on GitHub if they contain about 150 characters.
Answer: D
Explanation:
"GitHub Copilot has a duplication detection filter that checks suggestions of about 150 characters or longer against public code on GitHub. If a match is found, the suggestion is blocked if you have configured blocking." This clearly defines the purpose as preventing Copilot from suggesting verbatim code found publicly.
References: GitHub Copilot duplication detection documentation.
NEW QUESTION # 64
How does GitHub Copilot Chat help to fix security issues in your codebase?
- A. By annotating the given suggestions with known vulnerability patterns.
- B. By automatically refactoring the entire codebase to remove vulnerabilities.
- C. By providing detailed reports on the security vulnerabilities present in the codebase.
- D. By enforcing strict coding standards that prevent the introduction of vulnerabilities.
Answer: A
Explanation:
"When Copilot Chat generates suggestions, it may annotate them with warnings about known insecure patterns, helping developers identify potential vulnerabilities in context." This indicates that Copilot Chat assists with security by annotating code suggestions with vulnerability patterns.
References: GitHub Copilot Chat security and responsible use documentation.
NEW QUESTION # 65
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