GH-300 Dumps (V9.02) with Free Demo Questions 2026 for Microsoft GitHub Copilot Exam Preparation

For planning to take the Microsoft GitHub Copilot (GH-300) exam in 2026, using the most updated GH-300 dumps (V9.02) of DumpsBase can make preparations more focused, structured, and efficient. Our updated dumps come with 129 practice questions and answers, which are designed to help you practice with current, exam-style questions that reflect the latest GitHub Copilot exam topics and question patterns. These practice questions help you focus on important areas such as responsible AI usage, GitHub Copilot features, prompt engineering, developer productivity, privacy controls, content exclusions, and AI safeguards. With these updated practice questions, you can better understand what to expect and prepare with greater confidence. Today, we will share 50 free demo questions online, helping you check the quality of the updated GH-300 dumps (V9.02). Then, you can trust that DumpsBase GH-300 dumps can help you prepare more effectively for the Microsoft GitHub Copilot certification exam.

Below are the GH-300 free dumps, including 50 free demo questions for checking:

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

Navigate to the Security tab in the organization's GitHub settings

Navigate to the Insights tab in the repository settings

Use the Audit log section in the organization's GitHub settings

Use the Code tab in the GitHub repository

2. Why is code reviewing still necessary when using GitHub Copilot to write tests?

Because GitHub Copilot can cover all possible scenarios in your test cases.

Because GitHub Copilot generates the best code possible for the test scenario.

Because GitHub Copilot's generated test cases may not cover all possible scenarios.

Because GitHub Copilot replaces the need for manual testing.

3. 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.)

Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)

Sexually suggestive or explicit content

Code that contains logical errors or produces unexpected results

Code comments containing strong opinions or criticisms

4. What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?

Running code suggestions through filters designed to detect public code

Comparing suggestions against public code using machine learning.

Analyzing the context and structure of the code being written

Reviewing the user's browsing history to identify public repositories

5. How does GitHub Copilot Chat help in understanding the existing codebase?

By running code linters and formatters.

By providing visual diagrams of the code structure.

By answering questions about the code and generating explanations.

By automatically refactoring code to improve readability.

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

Prompts and Suggestions: Not retained

Prompts and Suggestions: Retained for 28 days

User Engagement Data: Kept for Two Years

User Engagement Data: Kept for One Year

7. How does the /tests slash command assist developers?

Constructs detailed test documentation.

Creates unit tests for the selected code.

Integrates with external testing frameworks.

Executes test cases to find issues with the code.

8. What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

Modify the .gitignore file to include the specific files.

Add the specific files to a copilot.ignore file.

Use the GitHub Copilot settings in the user interface to exclude files.

Rename the files to include the suffix _no_copilot.

9. 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.)

"Show me how to improve the readability of this function."

"Suggest ways to enhance the maintainability of this code segment."

"Refactor my application to meet the latest coding standards."

"Predict future coding trends and update my codebase accordingly."

10. How long does it take content exclusion to add or be updated?

Up to 30 minutes

45 - 60 minutes

60 - 90 minutes

24 hours

11. What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?

The Settings menu in the GitHub Mobile app.

The feedback section on the GitHub website.

Use the emojis in the Copilot Chat interface.

By tweeting at GitHub's official X (previously known as Twitter) account.

12. Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?

Fairness

Transparency

Inclusiveness

Accountability

13. How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?

By automatically generating detailed requirements documents.

By providing templates and code snippets that help in documenting requirements.

By identifying and fixing potential requirement conflicts when using /help.

By managing stakeholder communication and meetings.

14. What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?

The explanations are dynamically updated based on user feedback.

Reviewing and validating the generated output for accuracy and completeness.

GitHub Copilot Chat uses a static database for generating explanations.

The explanations are primarily derived from user-provided documentation.

15. How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)

Monthly as a subscription

Annually as a subscription

Monthly, as a metered service based on actual consumption

Free (not billed) for all open source projects

16. Where is the proxy service hosted?

Self hosted

Amazon Web Service

Microsoft Azure

Google Cloud Platform

17. Which of the following is correct about GitHub Copilot Knowledge Bases?

All repos are indexed

Indexing is static

It is an Enterprise feature

All file types are indexed

18. Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)

Create a technical requirement specification from the business requirement documentation

Explain a legacy COBOL code and translate the code to another language like Python.

Creation of a unit test scenario for newly developed Python code

Creation of end-to-end performance testing scenarios for a web application

19. What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

Clearly defining the problem or task

Including personal information in the code comments

Using meaningful variable names

Providing examples of desired output

Use a .gitignore file to exclude irrelevant files

20. When can GitHub Copilot still use content that was excluded using content exclusion?

If the contents of an excluded file are referenced in code that is not excluded, for example function calls.

When the repository level settings allow overrides by the user.

If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.

When the user prompts with @workspace.

21. What method can be used to interact with GitHub Copilot?

By using a properly configured GitHub CLI

By using chat capabilities in NeoVim

From a watch window in an IDE debug session

From a web browser at https://github.copilot.com

22. How can the concept of fairness be integrated into the process of operating an AI tool?

Focusing on accessibility will ensure fairness.

Focusing on collecting large datasets for training will ensure fairness.

Regularly monitoring the AI tool's performance will ensure fairness in its outputs.

Training AI data and algorithms to be free from biases will ensure fairness.

23. An independent contractor develops applications for a variety of different customers.

Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

GitHub Copilot Individual

GitHub Copilot Business

GitHub Copilot Business for non-GHE Customers

GitHub Copilot Enterprise

GitHub Copilot Teams

24. What role does chat history play in GitHub Copilot's code suggestions?

Chat history is used to train the GitHub Copilot model in real-time.

Chat history provides context to GitHub Copilot, improving the relevance and accuracy of its code suggestions.

Chat history is stored and shared with other users to enhance collaboration.

Chat history is irrelevant to GitHub Copilot and does not affect its functionality.

25. What GitHub Copilot pricing plan gives you access to your company's knowledge bases?

GitHub Copilot Individual

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Professional

26. How can you get multiple suggestions from GitHub Copilot?

By asking for multiple suggestions using comments in your code

By opening the completions panel in your editor

By using the inline chat functionality with the command 'multiple'

By using @workspace in the chat window

27. How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

By opening the relevant tabs in your IDE

By adding relevant code snippets to your prompt

By adding the important files to your .gitconfig

By adding the full file paths to your prompt of important files

28. Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)

Add teams to the Copilot subscription for an organization

Upgrade or downgrade the subscription tier

Migrate Copilot seat assignments between GitHub organizations

Reassign Copilot seats based on GitHub repository size

Remove teams from the Copilot subscription for an organization

29. How do you generate code suggestions with GitHub Copilot in the CLI?

Write code comments -> Press the suggestion shortcut -> Select the best suggestion from the list.

Use copilot suggest -> Write the command you want -> Select the best suggestion from the list.

Type out the code snippet -> Use the copilot refine command to enhance it -> Review the suggested command.

Describe the project's architecture -> Use the copilot generate command -> Accept the generated suggestion.

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

Responses are faster to produce and appear sooner

Responses use practices and patterns in your repositories

Responses use the organization's LLM engine

Responses are guaranteed to be correct

31. How can GitHub Copilot facilitate a smoother learning experience when diving into a new programming language? (Each correct answer presents part of the solution. Choose two.)

GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.

GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.

GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.

GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.

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

By suggesting assertions based on the code's context and semantics.

By automatically writing all the tests for the function.

By writing the implementation code for the function.

By executing the test cases to validate the correctness of the code.

33. How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?

It primarily relies on the model's training data to generate responses.

It primarily uses search results from Bing to generate responses.

It combines its training data set, code in user repositories, and external sources like Bing to generate responses.

It uses user-provided documentation exclusively to generate responses.

34. What are the effects of content exclusions? (Each correct answer presents part of the solution. Choose two.)

The excluded content is not directly available to GitHub Copilot to use as context.

GitHub Copilot suggestions are no longer available in the excluded files.

The excluded content is no longer used while debugging the code.

The IDE will not count coding suggestions in the excluded content.

35. 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.)

GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.

GitHub Copilot may decrease developer velocity by requiring too much time in prompt engineering.

GitHub Copilot's suggestions may not always reflect best practices or the latest coding standards.

GitHub Copilot may increase development lead time by providing irrelevant suggestions.

36. A company is currently storing code in Bitbucket and would like to use GitHub Copilot.

Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?

GitHub Copilot Business for non-GHE customers

GitHub Copilot Individual

GitHub Copilot Enterprise

GitHub Copilot Teams

37. GitHub Copilot in the Command Line Interface (CLI) can be used to configure the following settings: (Each correct answer presents part of the solution. Choose two.)

The default execution confirmation

Usage analytics

The default editor

GitHub CLI subcommands

38. How can GitHub Copilot assist with code refactoring tasks?

GitHub Copilot can fix syntax errors without user input.

GitHub Copilot can automatically rewrite code to follow best practices.

GitHub Copilot can suggest refactoring improvements for better code quality.

GitHub Copilot can remove unnecessary files from the project directory.

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

A complete replacement for developers generating code.

A productivity tool that provides suggestions, but relying on human judgment.

A solution for software development, requiring no additional input or oversight.

A tool solely designed for debugging and error correction.

40. Which of the following describes role prompting?

Describing in your prompt what your role is to get a better suggestion

Tell GitHub Copilot in what tone of voice it should respond

Prompt GitHub Copilot to explain what was the role of a suggestion

Giving GitHub Copilot multiple examples of the form of the data you want to use

41. Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

Accepted chat suggestions

Code suggestions made by GitHub Copilot

Changes to content exclusion settings

Suggestions blocked by duplication detection filtering

42. Which of the following is a risk associated with using AI?

AI algorithms are incapable of perpetuating existing biases.

AI systems can sometimes make decisions that are difficult to interpret.

AI eliminates the need for data privacy regulations.

AI replaces the need for developer opportunities in most fields.

43. Why might a Generative AI (Gen AI) tool create inaccurate outputs?

The Gen AI tool is overloaded with too many requests at once.

The Gen AI tool is experiencing downtime and is not fully recovered.

The Gen AI tool is programmed with a focus on creativity over factual accuracy.

The training data might contain biases or inconsistencies.

44. What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?

Suggestions matching public code to 'blocked'

Enforce blocking of MIT or GPL licensed code

You need to check code suggestions yourself before accepting

Enable GitHub Copilot license checking

45. In what way can GitHub Copilot and GitHub Copilot Chat aid developers in modernizing applications?

GitHub Copilot can directly convert legacy applications into cloud-native architectures.

GitHub Copilot can suggest modern programming patterns based on your code.

GitHub Copilot can create and deploy full-stack applications based on a single query.

GitHub Copilot can refactor applications to align with upcoming standards.

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

Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.

Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.

Utilize GitHub Copilot's capability to directly access and use databases to create sample data.

Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.

47. 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.)

Code suggestions

Chat

Knowledge Base

Pull Request Diff Analysis

48. What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

GitHub Copilot can independently verify the statistical significance of results.

GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.

GitHub Copilot will automatically correct any statistical errors found in the user's initial code.

GitHub Copilot can design new statistical methods that have not been previously documented.

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

By adding comments to your code and triggering a suggestion.

By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."

By running the gh copilot fix command.

By using the "/fix" command in GitHub Copilot in-line chat.

By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."

50. What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

Provide specific success criteria

Provide all information about the utilized files

Provide insight on where to get the content from to get a response

Provide links to supporting documentation

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