How can prompt engineering act as an operational safeguard when using GitHub Copilot?

By using prompts that are as short as possible to save time

By avoiding prompts altogether and relying on Copilot's default behavior

By using random prompts to test Copilot's creativity

By writing clear and specific prompts to guide Copilot toward the desired code

Which technique is commonly used to validate that AI-generated code aligns with the developer's intent?

Checking the code's line count against similar functions

Performing a thorough code review

Comparing the code to the most popular open-source implementation

Re-running Copilot until it produces a different suggestion

A developer uses Copilot to generate a complex algorithm. After accepting the suggestion, the developer writes unit tests and they all pass. What should the developer do next to ensure the code is correct?

Deploy the code to production and monitor for any issues.

Consider the code validated because the tests pass.

Perform a manual code review to check for logic errors and edge cases not covered by tests.

Rely on Copilot's explanation of the algorithm to confirm correctness.

What is an operational safeguard when using GitHub Copilot to ensure the generated code aligns with organizational policies?

Disabling Copilot for all developers to avoid policy violations

Configuring Copilot to ignore organizational coding standards

Allowing Copilot to automatically push code to production without review

Reviewing Copilot suggestions against the organization's coding standards and security requirements

Which of the following is a recognized method for validating GitHub Copilot suggestions?

Running the code through a comprehensive test suite

Asking Copilot to explain the code in natural language

Accepting the suggestion because it looks similar to code you have seen before

Checking the code's indentation and formatting

GitHubCopilot Certification

Domain 1Objective 2

Validate and Operate AI Tools GH-300 Practice Questions (Page 2)

Part of the Use GitHub Copilot responsibly domain, which accounts for 15-20% of the GH-300 exam.

13questions here

3free pages

4concepts

15-20%of the exam

Questions 6–10

6foundation · easy
How can prompt engineering act as an operational safeguard when using GitHub Copilot?
Select an answer first
7foundation · easy
Which technique is commonly used to validate that AI-generated code aligns with the developer's intent?
Select an answer first
8application · medium
A developer uses Copilot to generate a complex algorithm. After accepting the suggestion, the developer writes unit tests and they all pass. What should the developer do next to ensure the code is correct?
Select an answer first
9foundation · easy
What is an operational safeguard when using GitHub Copilot to ensure the generated code aligns with organizational policies?
Select an answer first
10foundation · easy
Which of the following is a recognized method for validating GitHub Copilot suggestions?
Select an answer first

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