GH-300 Microsoft GitHub Copilot Exam Free Practice Exam Questions (2026 Updated)

GitHub Copilot Individual

GitHub Copilot Enterprise

GitHub Copilot for Azure DevOps

Copilot Teams

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.

By identifying a pattern in the way you write tests and suggesting similar patterns for future tests.

By automatically fixing all tests in the code based on the context.

By providing documentation references based on industry best practices.

By writing the implementation code for the function based on context.

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.

Utilize to interpret developer ' s thoughts and intentions without any code or comments.

Engage with chat participants such as @workspace to incorporate collaborative context into the responses.

Access developer ' s previous projects and code repositories to understand their coding style without explicit permission.

Utilize chat variables like *file to anchor the conversation within the specific context of the files or editors in use.

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.

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

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

All repos are indexed

Indexing is static

It is an Enterprise feature

All file types are indexed

GitHub Copilot Individual

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Professional

Suggest innovative coding solutions that are not yet popular.

Suggest completely novel projects, while reducing time on a project.

Suggest code snippets that reflect the most common practices in the training data.

Suggest homogeneous solutions if provided a diverse data set.

Code quality

Compatibility with user-specific settings

Suggestions matching public code (optional based on settings)

Performance benchmarking

To compare user-generated code against a private repository for potential matches.

To allow administrators to control which suggestions are visible to developers based on custom criteria.

To encourage the user to follow coding best practices preventing code duplication.

To detect and block suggestions that match public code snippets on GitHub if they contain about 150 characters.

Code suggestions are guaranteed to not expose known security vulnerabilities

You can use keyboard shortcuts to accept the next word in a suggestion

Code suggestions are limited to single-line suggestions

Code suggestions will always compile or run without modifications

Alternative code suggestions can be shown in a new tab

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