Exam NCA-AIIO Topic 2 Question 38 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 38
Topic #: 2

You are working with a large dataset containing millions of records related to customer behavior. Your goal is to identify key trends and patterns that could improve your company's product recommendations. You have access to a high-performance AI infrastructure with NVIDIA GPUs, and you want to leverage this for efficient data mining. Which technique would most effectively utilize the GPUs to extract actionable insights from the dataset?

A. Visualizing the data using a standard spreadsheet application B. Using traditional SQL queries to filter and sort the data C. Implementing deep learning models for clustering customers into segments D. Employing a simple decision tree model to classify customer data

Suggested Answer: C Vote an answer

Implementing deep learning models for clustering customers into segments is the most effective technique to utilize NVIDIA GPUs for extracting actionable insights from a large customer behavior dataset. Deep learning models (e.g., autoencoders, neural networks) excel at unsupervised clustering of complex, high- dimensional data, identifying subtle trends and patterns for recommendations. NVIDIA GPUs accelerate these models via libraries like cuDNN and frameworks like PyTorch, as noted in NVIDIA's "Deep Learning Institute (DLI)" and "AI Infrastructure for Enterprise" resources, making them ideal for GPU-powered data mining.
Spreadsheets (A) and SQL queries (B) lack scalability and GPU utilization. Decision trees (D) are simpler but less effective for large-scale pattern discovery. Deep learning on GPUs is NVIDIA's recommended approach.

by Arabela at Jan 28, 2026, 02:05 AM

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