microsoft gh-300 practice test

GitHub Copilot

Last exam update: Nov 18 ,2025
Page 1 out of 5. Viewing questions 1-15 out of 65

Question 1

Which of the following describes role prompting?

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

A


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.
Reference: GitHub Copilot documentation on prompt engineering and best practices.

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Question 2

Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?

  • A. A complete replacement for developers generating code.
  • B. A productivity tool that provides suggestions, but relying on human judgment.
  • C. A solution for software development, requiring no additional input or oversight.
  • D. A tool solely designed for debugging and error correction.
Mark Question:
Answer:

B


Explanation:
GitHub Copilot Chat is designed to be a productivity enhancer, not a replacement for human
developers. It provides suggestions and assists with coding tasks, but the final decision and validation
always rest with the developer. Copilot Chat is meant to augment the developer's workflow, making
it faster and more efficient, but it does not remove the need for human oversight and judgment.
Reference: GitHub Copilot official documentation on the tool's purpose and usage.

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Question 3

How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents
part of the solution. Choose two.)

  • A. Prompts and Suggestions: Not retained
  • B. Prompts and Suggestions: Retained for 28 days
  • C. User Engagement Data: Kept for Two Years
  • D. User Engagement Data: Kept for One Year
Mark Question:
Answer:

B, C


Explanation:
For GitHub Copilot Business and Enterprise, prompts and suggestions are retained for 28 days to
provide context and improve the service. User engagement data, which includes usage patterns and
interactions, is kept for two years. This data retention policy is designed to balance service
improvement with user privacy.
Reference: GitHub Copilot documentation on data privacy and retention policies for Business and
Enterprise plans.

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Question 4

What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter? (Each
correct answer presents part of the solution. Choose two.)

  • A. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
  • B. Sexually suggestive or explicit content
  • C. Code that contains logical errors or produces unexpected results
  • D. Code comments containing strong opinions or criticisms
Mark Question:
Answer:

A, B


Explanation:
GitHub Copilot includes a toxicity filter to prevent the generation of harmful or inappropriate
content. This filter flags prompts or code snippets that contain hate speech, discriminatory language,
or sexually suggestive or explicit content. This ensures a safe and respectful coding environment.
Reference: GitHub Copilot documentation on safety and content filtering.

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Question 5

What is a benefit of using custom models in GitHub Copilot?

  • A. Responses are faster to produce and appear sooner
  • B. Responses use practices and patterns in your repositories
  • C. Responses use the organization's LLM engine
  • D. Responses are guaranteed to be correct
Mark Question:
Answer:

B


Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and
practices within your repositories. This results in suggestions that are more aligned with your
organization's coding standards and conventions, improving the relevance and accuracy of the
generated code.
Reference: GitHub Copilot Enterprise documentation on custom models.

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Question 6

How does GitHub Copilot Chat ensure that a function works correctly?

  • A. By suggesting assertions based on the code's context and semantics.
  • B. By automatically writing all the tests for the function.
  • C. By writing the implementation code for the function.
  • D. By executing the test cases to validate the correctness of the code.
Mark Question:
Answer:

A


Explanation:
GitHub Copilot Chat can suggest assertions based on the code's context and semantics to help
developers verify the correctness of their functions. These assertions serve as checks that the
function behaves as expected under various conditions.
Reference: GitHub Copilot documentation on testing and code verification.

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Question 7

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.
Mark Question:
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.
Reference: GitHub Copilot best practices and usage guidelines.

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Question 8

How can GitHub Copilot assist with code refactoring tasks?

  • A. GitHub Copilot can fix syntax errors without user input.
  • B. GitHub Copilot can automatically rewrite code to follow best practices.
  • C. GitHub Copilot can suggest refactoring improvements for better code quality.
  • D. GitHub Copilot can remove unnecessary files from the project directory.
Mark Question:
Answer:

C


Explanation:
GitHub Copilot can analyze existing code and suggest refactoring improvements to enhance code
quality, readability, and maintainability. It can propose changes to improve code structure, reduce
complexity, and follow best practices.
Reference: GitHub Copilot documentation on code refactoring assistance.

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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
Mark Question:
Answer:

A


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.
Reference: GitHub Copilot documentation on public code filtering and licensing.

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Question 10

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

A, B


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.
Reference: GitHub Copilot prompt engineering best practices.

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Question 11

What method can a developer use to generate sample data with GitHub Copilot? (Each correct
answer presents part of the solution. Choose two.)

  • A. Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.
  • B. Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.
  • C. Utilize GitHub Copilot's capability to directly access and use databases to create sample data.
  • D. Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.
Mark Question:
Answer:

A, D


Explanation:
GitHub Copilot can generate sample data by creating fictitious information based on patterns in its
training data and by using suggestions based on API documentation within the repository.
Reference: GitHub Copilot documentation on data generation assistance.

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Question 12

What are the potential risks associated with relying heavily on code generated from GitHub Copilot?
(Each correct answer presents part of the solution. Choose two.)

  • A. GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.
  • B. GitHub Copilot may decrease developer velocity by requiring too much time in prompt engineering.
  • C. GitHub Copilot's suggestions may not always reflect best practices or the latest coding standards.
  • D. GitHub Copilot may increase development lead time by providing irrelevant suggestions.
Mark Question:
Answer:

A, C


Explanation:
Heavy reliance on GitHub Copilot can introduce security vulnerabilities if the generated code
contains known exploits. Additionally, Copilot's suggestions may not always align with best practices
or the latest standards, requiring careful review and validation.
Reference: GitHub Copilot best practices and risk management.

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Question 13

What is the correct way to access the audit log events for GitHub Copilot Business?

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

C


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.

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Question 14

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
Mark Question:
Answer:

A, B


Explanation:
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide
immediate context and adding relevant code snippets directly to your prompts to give Copilot
specific examples and information.
Reference: GitHub Copilot prompt engineering and context management.

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Question 15

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.
Mark Question:
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.
Reference: GitHub Copilot documentation on SDLC assistance.

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