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Exam NCA-AIIO All Questions
Exam NCA-AIIO All Questions

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NVIDIA-Certified Associate NCA-AIIO Question # 10 Topic 2 Discussion

NCA-AIIO Exam Topic 2 Question 10 Discussion:
Question #: 10
Topic #: 2

You are working with a large healthcare dataset containing millions of patient records. Your goal is to identify patterns and extract actionable insights that could improve patient outcomes. The dataset is highly dimensional, with numerous variables, and requires significant processing power to analyze effectively. Which two techniques are most suitable for extracting meaningful insights from this large, complex dataset? (Select two)


A.

SMOTE (Synthetic Minority Over-sampling Technique)


B.

Data Augmentation


C.

Batch Normalization


D.

K-means Clustering


E.

Dimensionality Reduction (e.g., PCA)


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