GH-300 GitHub Copilot Exam Question and Answers

Avoid using Copilot for complex tasks.

Disable Copilot's inline suggestions.

Regularly review and refactor the code suggested by Copilot.

Rely solely on Copilot's suggestions without reviewing them.

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.

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

GitHub Copilot can independently manage and resolve all merge conflicts in version control.

GitHub Copilot might not fully understand the context and dependencies within a large codebase.

GitHub Copilot's suggestions are always aware of the entire codebase.

GitHub Copilot can refactor and optimize the entire codebase up to 10,000 lines of code.

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."

It decreases software vulnerabilities from third party dependencies.

It reduces overhead by automating testing workflows.

It increases productivity by automating repetitive coding tasks.

It replaces the need for developers in the software development process.

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

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

Use gh copilot suggest → Write the command you want → Select the best suggestion from the list.

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

GitHub Copilot may not always produce optimized or best-practice code for refactoring.

GitHub Copilot can only be used with a limited set of programming languages.

GitHub Copilot always produces bug-free code during refactoring.

GitHub Copilot understands the context of your entire project and refactors code accordingly.

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

You are working in files included in your .gitignore

You do not have an active internet connection

Your programming language is not supported

Your content exclusion is active and blocks the use of GitHub Copilot

You do not have a valid GitHub Copilot license

The GitHub Copilot icon in the status bar of the editor will display a message

The GitHub Copilot logs on GitHub.com under your user settings

The code suggestions window will display a warning message

The GitHub Copilot errors panel in your IDE

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.

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.

By using chat history to offer personalized code snippets based on previous prompts.

By logging chat history to monitor user activity and ensure compliance with coding standards.

By analyzing past chat interactions to identify common programming patterns and errors.

By sharing chat history with third-party services to improve integration and functionality.

GitHub Copilot Business for non-GHE customers

GitHub Copilot Individual

GitHub Copilot Enterprise

GitHub Copilot Teams

Blocking public code matches

Blocking license check configuration

Allowing public code matches

Allowing license check configuration

Translates code into a more performant language.

Enhances the performance of the selected code by analyzing its runtime complexity.

Automatically formats the code according to the selected style guide.

Summarizes your documentation into more maintainable and readable formats.

Code snippets

Compiled binaries

Documentation

Design patterns

Screenshots

"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."

GitHub Copilot can independently create a complete software design.

GitHub Copilot can suggest design patterns and best practices relevant to the project.

GitHub Copilot can manage design team collaboration and version control.

GitHub Copilot can generate user interface (UI) prototypes without prompting.

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.

Fairness

Transparency

Inclusiveness

Accountability

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

Telling GitHub Copilot about the mechanism you want it to use and how to incorporate that into the response

Telling GitHub Copilot from which sources it should base the response on

Telling GitHub Copilot to try multiple times to answer the prompt

Telling GitHub Copilot to iterate several times on the answer before returning it to you

Optimize the usage of memory-intensive operations within generated code

Apply prompt engineering techniques to be more specific

Use a single GitHub Copilot Chat query to find resolutions for the collection of technical requirements

Limit the number of concurrent users accessing GitHub Copilot Chat

The default execution confirmation

Usage analytics

The default editor

GitHub CLI subcommands

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.

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.

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

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

Ensuring code security prevents unauthorized access and potential data breaches.

Ensuring code security supports the development of more advanced AI features.

Ensuring code security enables the AI system to handle larger datasets effectively.

Ensuring code security maintains the integrity of the AI system.

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

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.