AIF-C01 Question #282: Real Exam Question with Answer & Explanation

The correct answer is A: Unsupervised learning. Unsupervised learning is used to automatically group or cluster similar customers and products based on their characteristics without the need for labeled data. This strategy fits scenarios where the goal is to discover patterns or groupings in the data.

Submitted by diego_uy· Mar 30, 2026DOMAIN_LIST_MISSING_IN_PROMPT

Question

A company is developing an ML application. The application must automatically group similar customers and products based on their characteristics. Which ML strategy should the company use to meet these requirements?

Options

AUnsupervised learning
BSupervised learning
CReinforcement learning
DSemi-supervised learning

Explanation

Unsupervised learning is used to automatically group or cluster similar customers and products based on their characteristics without the need for labeled data. This strategy fits scenarios where the goal is to discover patterns or groupings in the data.

Topics

#Unsupervised Learning#Clustering#ML Learning Types

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