Microsoft Azure AI Fundamentals AI-900 Practice Question
An online retailer wants to understand patterns in customer behavior based on purchase history, browsing behavior, and demographic data to better tailor its marketing strategies.
Which machine learning technique is most appropriate for this task?
Clustering is the most appropriate technique for discovering inherent groupings or patterns in data without predefined labels. In this scenario, the retailer aims to segment customers based on similarities to tailor marketing strategies for each group.
Classification involves assigning data points to predefined categories using labeled data, which is not suitable here since the categories are not known beforehand.
Regression is used for predicting continuous numerical values, not for identifying patterns or groupings.
Time Series Analysis focuses on data points collected over time, which does not align with the goal of understanding customer behavior patterns in this context.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What is clustering in machine learning?
Open an interactive chat with Bash
How does clustering help in customer segmentation?
Open an interactive chat with Bash
What is the difference between supervised and unsupervised learning?
Open an interactive chat with Bash
Microsoft Azure AI Fundamentals AI-900
Describe Fundamental Principles of Machine Learning on Azure
Your Score:
Report Issue
Bash, the Crucial Exams Chat Bot
AI Bot
Loading...
Loading...
Loading...
IT & Cybersecurity Package Join Premium for Full Access