Dell EMC Associate – Information Storage and Management v5 — Question 108

What kind of ML explicitly requires splitting the data into training and testing datasets before running an algorithm against that data?

Answer options

• A. Deep Learning
• B. Unsupervised Learning
• C. Reinforcement Learning
• D. Supervised Learning

Correct answer: D

Explanation

The correct answer is D, Supervised Learning, as it relies on labeled data and requires a training set to learn from and a testing set to evaluate its performance. In contrast, Unsupervised Learning (B) does not require labeled data, Reinforcement Learning (C) focuses on learning through interactions, and Deep Learning (A) is a subset of machine learning that can use various training strategies but still falls under the supervised category when labels are involved.