Exam NCA-AIIO Topic 1 Question 1 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 1
Topic #: 1

You are assisting a senior data scientist in a project aimed at improving the efficiency of a deep learning model. The team is analyzing how different data preprocessing techniques impact the model's accuracy and training time. Your task is to identify which preprocessing techniques have the most significant effect on these metrics. Which method would be most effective in identifying the preprocessing techniques that significantly affect model accuracy and training time?

A. Use a line chart to plot training time for different preprocessing techniques. B. Conduct a t-test between different preprocessing techniques. C. Perform a multivariate regression analysis with preprocessing techniques as independent variables and accuracy/training time as dependent variables. D. Create a pie chart showing the distribution of preprocessing techniques used.

Suggested Answer: C Vote an answer

Performing a multivariate regression analysis with preprocessing techniques as independent variables and accuracy/training time as dependent variables is the most effective method. This statistical approach quantifies the impact of each technique (e.g., normalization, augmentation) on both metrics, identifying significant contributors while accounting for interactions. NVIDIA's Deep Learning Performance Guide suggests such analyses for optimizing training pipelines on GPUs. Option A (line chart) visualizes trends but lacks statistical rigor. Option B (t-test) compares pairs, not multiple factors. Option D (pie chart) shows usage distribution, not impact. Regression aligns with NVIDIA's data-driven optimization strategies.

by Greg at Dec 29, 2025, 08:44 AM

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