GH-300 GitHub Copilot Exam Questions and Answers

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

GitHub Copilot Individual

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Professional

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

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.

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.

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.

By using a specific setting in GitHub Copilot's configuration.

By using a specific command in the terminal.

By using specific prompt examples in your chat request.

By using a specific slash command in the prompt.

Initiates a code review with static analysis tools for security and logic errors.

Converts pseudocode into executable code, optimizing for readability and maintainability.

Generates new code snippets based on language syntax and best practices.

Proposes changes for detected issues, suggesting corrections for syntax errors and programming mistakes.

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

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.

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.

GitHub Copilot Individual

GitHub Copilot Enterprise

GitHub Copilot for Azure DevOps

Copilot Teams

GitHub Copilot Individuals

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Codespace

By analyzing the codebase and suggesting more efficient algorithms or data structures.

By automatically rewriting the codebase to use more efficient code.

By enforcing strict coding standards that ensure optimal performance.

By providing detailed reports on the performance of the codebase.

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

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.

GitHub Copilot Business for non-GHE customers

GitHub Copilot Individual

GitHub Copilot Enterprise

GitHub Copilot Teams

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

Prompt data is stored unencrypted for faster processing.

Prompt data is used internally by GitHub for improving the search engine.

Prompt data is used to train machine learning models for better code suggestions.

Real-time user input helps generate context-aware code suggestions.

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.

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.

Inclusiveness

Fairness

Reliability and Safety

Privacy and Security

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.

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.

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 can automatically handle project management tasks.

GitHub Copilot can completely replace the need for human collaboration.

GitHub Copilot can predict and prevent bugs before they occur.

GitHub Copilot allows developers to stay in their IDE.

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

All repos are indexed

Indexing is static

It is an Enterprise feature

All file types are indexed

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.

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.

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.

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

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.