GH-300 Microsoft GitHub Copilot Exam Free Practice Exam Questions (2025 Updated)

By enforcing strict coding standards that prevent the introduction of vulnerabilities.

By providing detailed reports on the security vulnerabilities present in the codebase.

By annotating the given suggestions with known vulnerability patterns.

By automatically refactoring the entire codebase to remove vulnerabilities.

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.

Inclusiveness

Fairness

Reliability and Safety

Privacy and Security

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.

Blocking public code matches

Blocking license check configuration

Allowing public code matches

Allowing license check configuration

When the user prompts with @workspace.

When the repository-level settings allow overrides by the user.

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

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

Based on the payment method in your user profile

N/A – Copilot Individual is a free service for all open source projects

Through an invoice or a credit card

Through an Azure Subscription

GitHub Copilot Individuals

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Codespace

Apply policies through the GitHub Actions configuration

Create a copilot.policy file in each repository

Configure the policies in the organization settings

Create a copilot.policy in the .github repository

By offering code transformation examples that enhance performance and reduce complexity.

By independently ensuring compliance with regulatory standards across industries.

By providing suggestions for improving code readability and maintainability based on best practices.

By autonomously refactoring entire codebases to the latest programming language.

By regularly updating the AI filtering algorithm.

By relying on a well-regarded AI development company.

By focusing on user satisfaction with the content filtering.

By providing clear explanations about the types of content the AI is designed to filter and how it arrives at its conclusion.

If GitHub Copilot can connect to the server selected in your user settings.

If the user is part of the content exclusion team that limits the use of content exclusions.

If the content exclusion settings changed in the last 30 minutes or before that.

If the user is in an organization that has content exclusions configured.

GitHub Copilot cannot assist in writing documentation or comments.

GitHub Copilot can automatically generate complete and detailed documentation.

GitHub Copilot can suggest summaries or descriptions based on the code's functionality.

GitHub Copilot can only generate content in markdown format.

Using machine learning models trained only on private repositories

Reviewing and storing user-specific private repository data for future suggestions

Filtering out suggestions that match code from public repositories

Implementing safeguards to detect and avoid suggesting verbatim snippets from public code

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.

Repository administrators and organization owners cannot manage content exclusion settings.

Content exclusions can be worked around as it is only available for Git repositories.

Content exclusions can only be configured by an enterprise administrator.

Content exclusions are only available in the GitHub Copilot Individual plan.

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

Real-time debugging and error resolution statistics.

Insights on the types of coding languages where GitHub Copilot is most helpful.

Automated generation of complete project documentation.

Detailed analysis of GitHub Copilot's suggestions vs. manual coding.

The API can generate detailed reports on code quality improvements made by GitHub Copilot.

The API can track the acceptance rate of code suggestions accepted and used in the organization.

The API can refactor your code to improve productivity.

The API can provide feedback on coding style and standards compliance.

The API can provide Copilot Chat specific suggestions acceptance metrics.