GitHub GitHub-Copilot Certification Test Questions - GitHub-Copilot Study Guides

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GitHub CopilotCertification Exam Sample Questions (Q48-Q53):

NEW QUESTION # 48
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.)

A. GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.
B. GitHub Copilot may decrease developer velocity by requiring too much time in prompt engineering.
C. GitHub Copilot may increase development lead time by providing irrelevant suggestions.
D. GitHub Copilot's suggestions may not always reflect best practices or the latest coding standards.

Answer: A,D

Explanation:
Heavy reliance on GitHub Copilot can introduce security vulnerabilities if the generated code contains known exploits. Additionally, Copilot's suggestions may not always align with best practices or the latest standards, requiring careful review and validation.

NEW QUESTION # 49
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

A. Rename the files to include the suffix _no_copilot.
B. Use the GitHub Copilot settings in the user interface to exclude files.
C. Add the specific files to a copilot.ignore file.
D. Modify the .gitignore file to include the specific files.

Answer: B

Explanation:
The correct way to exclude files is through the GitHub Copilot settings in the user interface, which allows administrators to specify files and directories to be ignored.

NEW QUESTION # 50
What is a benefit of using custom models in GitHub Copilot?

A. Responses are faster to produce and appear sooner
B. Responses use practices and patterns in your repositories
C. Responses use the organization's LLM engine
D. Responses are guaranteed to be correct

Answer: B

Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and practices within your repositories. This results in suggestions that are more aligned with your organization's coding standards and conventions, improving the relevance and accuracy of the generated code.

NEW QUESTION # 51
How does GitHub Copilot suggest code optimizations for improved performance?

A. By automatically rewriting the codebase to use more efficient code.
B. By providing detailed reports on the performance of the codebase.
C. By analyzing the codebase and suggesting more efficient algorithms or data structures.
D. By enforcing strict coding standards that ensure optimal performance.

Answer: C

Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.

NEW QUESTION # 52
How does GitHub Copilot Chat ensure that a function works correctly?

A. By automatically writing all the tests for the function.
B. By executing the test cases to validate the correctness of the code.
C. By suggesting assertions based on the code's context and semantics.
D. By writing the implementation code for the function.

Answer: C

Explanation:
GitHub Copilot Chat can suggest assertions based on the code's context and semantics to help developers verify the correctness of their functions. These assertions serve as checks that the function behaves as expected under various conditions.

NEW QUESTION # 53
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