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AI-900: Understanding Supervised ML Models Classification, Regression, and Neural Networks

Explore the realm of Supervised Machine Learning models—Regression, Classification, and Neural Networks. Learn how these models drive predictive and classification tasks in ML.

Table of Contents


Select all models that are part of Supervised ML?

A. Regression model
B. Neural Networks
C. Classification Model
D. Clustering Model
E. Anomaly Detection


A. Regression model
C. Classification Model


A Regression and Classification modeling types are two parts of Supervised machine learning. Both techniques train the models using labeled data: previously acquired or historical data for the label.

Option B is incorrect because Neural Networks belongs to Unsupervised machine learning. It uses data that is not labeled.
Option D is incorrect. Clustering belongs to Unsupervised machine learning.
Option E is incorrect because Anomaly Detection belongs to Unsupervised Learning. It detects the irregularities in the time series data and uses the data that is not labeled.

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

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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