AI-900: Predicting Vehicles on a Bridge

Learn how to answer a sample AI-900 exam question about machine learning types. Find out why regression is the correct choice for predicting vehicles on a bridge.

Question

To complete the sentence, select the appropriate option in the answer

Predicting how many vehicles will travel across a bridge on a given day is an example of __________.

A. classification
B. clustering
C. regression

Answer

C. regression

Explanation

Regression is a machine learning task that is used to predict the value of the label from a set of related features.

The correct answer is C. regression. Regression is a type of machine learning that predicts a continuous numerical value based on input features. For example, predicting how many vehicles will travel across a bridge on a given day is a regression problem, because the output is a number that can vary within a range. Classification and clustering are other types of machine learning, but they do not predict numerical values. Classification predicts a discrete label or category for each input, such as spam or not spam. Clustering groups similar inputs together based on their features, such as customer segments.

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.