Exam NCA-AIIO Topic 2 Question 33 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 33
Topic #: 2

A financial institution is deploying two different machine learning models to predict credit defaults. The models are evaluated using Mean Squared Error (MSE) as the primary metric. Model A has an MSE of 0.015, while Model B has an MSE of 0.027. Additionally, the institution is considering the complexity and interpretability of the models. Given this information, which model should be preferred and why?

A. Model A should be preferred because it has a more complex architecture, leading to better long-term performance. B. Model B should be preferred because it has a higher MSE, indicating it is less likely to overfit. C. Model A should be preferred because it is more interpretable than Model B. D. Model A should be preferred because it has a lower MSE, indicating better performance.

Suggested Answer: D Vote an answer

Model A should be preferred because its lower MSE (0.015 vs. 0.027) indicates better performance in predicting credit defaults, as MSE measures prediction error (lower is better). Complexity and interpretability are secondary without specific data, but NVIDIA's ML deployment guidelines prioritize performance metrics like MSE for financial use cases. Option A assumes complexity improves performance, unverified here.
Option B misinterprets higher MSE as beneficial. Option C lacks interpretability evidence. NVIDIA's focus on accuracy supports Option D.

by Quentin at May 03, 2026, 01:26 AM

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