GitHub Copilot Exam Questions and Answers

QUESTION: 9

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

Answer(s): 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.)

"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."

Answer(s): 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.)

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.

Answer(s): 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.)

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.

Answer(s): 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?

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

Answer(s): 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.)

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

Answer(s): 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)?

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.

Answer(s): 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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QUESTION: 16

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.

Answer(s): A

Explanation:

In the CLI, GitHub Copilot generates code suggestions by analyzing code comments. You write comments describing what you want, and Copilot provides relevant code suggestions. You then select the best suggestion from the list.

Reference:

GitHub Copilot CLI documentation.

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GitHub GitHub Copilot Exam (page: 2) GitHub Copilot Updated on: 11-Dec-2025

QUESTION: 9

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QUESTION: 10

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QUESTION: 11

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QUESTION: 12

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QUESTION: 13

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QUESTION: 14

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QUESTION: 15

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QUESTION: 16

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GitHub GitHub Copilot Exam (page: 2)
GitHub Copilot
Updated on: 11-Dec-2025