Free GitHub Copilot Certification Exam GitHub-Copilot Exam Practice Test

What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

• Clearly defining the problem or task
• Including personal information in the code comments
• Using meaningful variable names
• Providing examples of desired output
• Use a .gitignore file to exclude irrelevant files

What are the potential risks associated with relying heavily on code generated from GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

• 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.

An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

• GitHub Copilot Individual
• GitHub Copilot Business
• GitHub Copilot Business for non-GHE Customers
• GitHub Copilot Enterprise
• GitHub Copilot Teams

How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)

• 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

Select a strategy to increase the performance of GitHub Copilot Chat.

• 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
• Apply prompt engineering techniques to be more specific
• Optimize the usage of memory-intensive operations within generated code

How does GitHub Copilot Chat help in understanding the existing codebase?

• By running code linters and formatters.
• By providing visual diagrams of the code structure.
• By answering questions about the code and generating explanations.
• By automatically refactoring code to improve readability.

How can GitHub Copilot be limited when it comes to suggesting unit tests?

• GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
• GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.
• GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.
• GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.

Which of the following describes role prompting?

• 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

What role does chat history play in GitHub Copilot's code suggestions?

• 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.

What content can be configured to be excluded with content exclusions? (Each correct answer presents part of the solution. Choose three.)

• Lines in files
• Files
• Folders
• Repositories
• Gists