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AI-900: How to Use Machine Learning for Customer Segmentation

Learn how to use clustering, a type of machine learning, to identify groups of customers who have similar purchasing habits. This is a sample question for the AI-900 certification exam.

Table of Contents

Question

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

A. classification
B. regression
C. clustering

Answer

C. clustering

Explanation

Clustering is a machine learning task that is used to group instances of data into clusters that contain similar characteristics. Clustering can also be used to identify relationships in a dataset.

The correct answer is C. clustering. Clustering is a type of machine learning that groups data points based on their similarities. It can be used to identify segments of customers who have similar preferences, behaviors, or characteristics. Classification and regression are types of supervised learning, which require labeled data and a predefined outcome. Clustering is a type of unsupervised learning, which does not require labels and can discover hidden patterns in the data.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump