Microsoft GH-300 GitHub Copilot Exam Exam Practice Test

Limited training data

Ability to handle complex code structures

No biases in code suggestions

Extensive support for all programming languages

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

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.

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.

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

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

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.

Repository administrators and organization owners cannot manage content exclusion settings.

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."

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

Automatically formats the code according to the selected style guide.

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

Summarizes your documentation into more maintainable and readable formats.

Translates code into a more performant language.

GitHub Copilot Individuals

GitHub Copilot Business

GitHub Copilot Enterprise

GitHub Copilot Codespace

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.

Up to 30 minutes

45 - 60 minutes

60 - 90 minutes

24 hours

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.

Giving as little context to GitHub Copilot as possible

Telling GitHub Copilot it needs to show only the correct answer

Only giving GitHub Copilot a question as a prompt and no examples

Giving GitHub Copilot examples of the problem you want to solve

Giving GitHub Copilot examples of the algorithm and outcome you want to use

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.

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.

The default execution confirmation

Usage analytics

The default editor

GitHub CLI subcommands

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.