AI-900: How to use clustering for customer segmentation in CRM applications

Learn how to use clustering, a type of machine learning, to segment customers into different groups based on their features or characteristics. This can help you create a CRM application that supports a marketing department.

Question

You want to create a CRM application that uses Al to segment customers into different groups to support a marketing department. Which machine learning type should you use?

A. Clustering
B. Regression
C. Classification

Answer

A. Clustering

Explanation

The correct answer is A. Clustering. Clustering is a type of machine learning that groups similar data points into clusters based on their features or characteristics. Clustering can be used to segment customers into different groups based on their preferences, behavior, demographics, or other criteria. This can help a marketing department to design targeted campaigns, promotions, or offers for each customer group.

Regression and classification are not suitable for this scenario. Regression is a type of machine learning that predicts a continuous numerical value based on the input features, such as predicting the price of a house based on its size, location, and condition. Classification is a type of machine learning that assigns a discrete label to an input, such as identifying whether an email is spam or not.

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.