Drag and Drop Question Match the machine learning models to the appropriate descriptions. To answer, drag the appropriate model from the column on the left to its description on the right. Each model

Submitted by obi.ng· Mar 30, 2026Describe features of and use cases for traditional machine learning - Microsoft Azure AI Fundamentals (AI-900) / AWS Cloud Practitioner AI/ML concepts

Question

Drag and Drop Question Match the machine learning models to the appropriate descriptions. To answer, drag the appropriate model from the column on the left to its description on the right. Each model may be used once, more than once, or not at all. NOTE: Each correct match is worth one point. Answer:

Exhibit

Explanation

Classification is a supervised ML model that predicts which category or class an input belongs to (e.g., spam/not spam, fraudulent/legitimate). Regression is a supervised ML model that predicts a continuous numeric output (e.g., house prices, temperature). Clustering is an unsupervised ML model that groups data points based on similarity without predefined labels, making it ideal for discovering natural groupings in unlabeled data.

Topics

#Machine Learning#Supervised Learning#Unsupervised Learning#AI Fundamentals

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