Understand Responsible AI Principles GH-300 Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A developer uses GitHub Copilot to generate a code snippet that will be deployed to production. The developer is unsure whether the code handles all edge cases correctly. What is the most responsible action?

   • AReview the code manually and write tests to verify edge cases before deployment.
   • BRely on Copilot's suggestion because it is trained on best practices.
   • CDeploy the code and monitor for issues in production.
   • DAsk Copilot to generate additional test cases and then review them.
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2. 22application · medium

   A developer asks GitHub Copilot to generate a function that implements a complex financial algorithm. Copilot produces a solution that looks correct but the developer is not sure if it follows the latest regulatory requirements. What is the most appropriate action?

   • AAdd a comment that the code may not comply with regulations.
   • BUse the code as-is because Copilot is trained on current best practices.
   • CAsk Copilot to regenerate the code until it includes a reference to the regulation.
   • DConsult the official regulatory documentation and adjust the code accordingly.
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4. 23application · medium

   A team is building a GitHub Copilot extension that generates code for a medical device. They are concerned about the risk of biased suggestions that could lead to unsafe patient outcomes. Which mitigation strategy is most effective?

   • AImplement a human review process for all generated code.
   • BUse a diverse dataset to train the model.
   • CRely on Copilot's built-in safety filters.
   • DLimit the use of Copilot to non-critical code.
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5. 24foundation · easy

   Which of the following is a limitation of generative AI models?

   • AThey can verify the accuracy of the information they generate.
   • BThey may lack deep domain expertise in specialized fields.
   • CThey have real-time access to the latest news and updates.
   • DThey are designed to replace human judgment in all decision-making.
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6. 25application · medium

   A developer uses GitHub Copilot to generate a function that calculates shipping costs. The suggested code looks plausible but the developer notices that the formula uses a flat rate for all regions, which is incorrect for international orders. What is the most appropriate responsible AI practice to apply in this situation?

   • AModify the generated code to handle regional rates and then test it with sample orders.
   • BAccept the suggestion because Copilot is generally reliable for standard calculations.
   • CReport the error to GitHub as a bug in Copilot's training data.
   • DUse the code as-is but add a comment noting it may be incorrect.
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