Your question is Handling Inefficient Correct Logic. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
If a model provides a correct answer but uses inefficient logic, how do you handle the feedback?
Explain how you would acknowledge the correct result, identify the computational bottleneck, and recommend an improvement without losing correctness. Include how you would validate behavioral equivalence, compare runtime or memory usage, and communicate the feedback constructively. Provide production-quality Python that demonstrates a measurable optimization and protects the result with tests.