Microsoft GH-300 Dumps
| Exam Code | GH-300 |
| Exam Name | GitHub Copilot Exam |
| Update Date | 30 Aug, 2026 |
| Total Questions | 123 Questions Answers With Explanation |
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Question # 1
When can GitHub Copilot still use content that was excluded using content exclusion?
A. When the user prompts with @workspace.
B. When the repository-level settings allow overrides by the user.
C. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
D. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
Question # 2
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)
A. By opening the relevant tabs in your IDE
B. By adding relevant code snippets to your prompt
C. By adding the important files to your .gitconfig
D. By adding the full file paths to your prompt of important files
Question # 3
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 suggest design patterns and best practices relevant to the project.
C. GitHub Copilot can manage design team collaboration and version control.
D. GitHub Copilot can generate user interface (UI) prototypes without prompting.
Question # 4
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
Question # 5
What are the potential limitations of GitHub Copilot in maintaining existing codebases?
A. GitHub Copilot can independently manage and resolve all merge conflicts in version control.
B. GitHub Copilot might not fully understand the context and dependencies within a large codebase.
C. GitHub Copilot's suggestions are always aware of the entire codebase.
D. GitHub Copilot can refactor and optimize the entire codebase up to 10,000 lines of code.
Question # 6
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 ability to execute and verify mathematical results in real-time.
C. GitHub Copilot's reliance on pattern-based responses without verifying computation accuracy.
D. GitHub Copilot's automatic update of outdated mathematical formulas to modern standards.
Question # 7
How can GitHub Copilot be limited when it comes to suggesting unit tests?
A. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
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 handle any complexity in code and automatically generate appropriate unit tests.
D. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version
you are using.
Question # 8
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 to interpret developer's thoughts and intentions without any code or comments.
B. Engage with chat participants such as @workspace to incorporate collaborative context into the responses.
C. Access developer's previous projects and code repositories to understand their coding style without explicit permission.
D. Utilize chat variables like *file to anchor the conversation within the specific context of the files or editors in use.
Question # 9
What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?
A. Running code suggestions through filters designed to detect public code
B. Comparing suggestions against public code using machine learning.
C. Analyzing the context and structure of the code being written
D. Reviewing the user's browsing history to identify public repositories
Question # 10
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
A. Create a technical requirement specification from the business requirement documentation
B. Explain a legacy COBOL code and translate the code to another language like Python.
C. Creation of a unit test scenario for newly developed Python code
D. Creation of end-to-end performance testing scenarios for a web application
Question # 11
In what ways can GitHub Copilot support a developer during the code refactoring process? (Each correct answer presents part of the solution. Choose two.)
A. By offering code transformation examples that enhance performance and reduce complexity.
B. By independently ensuring compliance with regulatory standards across industries.
C. By providing suggestions for improving code readability and maintainability based on best practices.
D. By autonomously refactoring entire codebases to the latest programming language.
Question # 12
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?
A. Modify the .gitignore file to include the specific files.
B. Add the specific files to a copilot.ignore file.
C. Use the GitHub Copilot settings in the user interface to exclude files.
D. Rename the files to include the suffix _no_copilot.
Question # 13
How does GitHub Copilot Chat help in understanding the existing codebase?
A. By running code linters and formatters.
B. By providing visual diagrams of the code structure.
C. By answering questions about the code and generating explanations.
D. By automatically refactoring code to improve readability.
Question # 14
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)
A. Clearly defining the problem or task
B. Including personal information in the code comments
C. Using meaningful variable names
D. Providing examples of desired output
E. Use a .gitignore file to exclude irrelevant files
Question # 15
Which of the following is a risk associated with using AI?
A. AI algorithms are incapable of perpetuating existing biases.
B. AI systems can sometimes make decisions that are difficult to interpret.
C. AI eliminates the need for data privacy regulations.
D. AI replaces the need for developer opportunities in most fields.
Question # 16
What GitHub Copilot pricing plan gives you access to your company's knowledge bases?
A. GitHub Copilot Individual
B. GitHub Copilot Business
C. GitHub Copilot Enterprise
D. GitHub Copilot Professional
Question # 17
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.
Question # 18
What content can be configured to be excluded with content exclusions? (Each correct answer presents part of the solution. Choose three.)
A. Files
B. Folders
C. Lines in files
D. Gists
E. Repositories
Question # 19
Which Copilot Enterprise features are available in all commercially supported IDEs?
A. Inline suggestions
B. Pull request summaries
C. Knowledge bases
D. Chat
Question # 20
Are there any limitations to consider when using GitHub Copilot for code refactoring?
A. GitHub Copilot may not always produce optimized or best-practice code for refactoring.
B. GitHub Copilot can only be used with a limited set of programming languages.
C. GitHub Copilot always produces bug-free code during refactoring.
D. GitHub Copilot understands the context of your entire project and refactors code accordingly.
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