AI-900 Question #67: Real Exam Question with Answer & Explanation

Submitted by packet_pusher· Mar 30, 2026Describe core machine learning concepts and identify appropriate ML algorithm types (Classification, Regression, Clustering) for given real-world scenarios - aligned with Microsoft Azure AI Fundamentals (AI-900) or similar foundational AI certification objectives.

Question

Drag and Drop Question Match the types of machine learning to the appropriate scenarios. To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point. Answer:

Explanation

The correct arrangement maps Regression to predicting continuous numeric values (e.g., sales forecasts, prices), Clustering to grouping unlabeled data into natural segments without predefined categories (unsupervised learning), and Classification to assigning data points to predefined discrete categories or labels (e.g., spam/not spam, fraud/not fraud). Regression outputs a numeric value along a continuous scale, Clustering discovers hidden structure in data with no labels, and Classification maps inputs to known class labels using a trained model.

Topics

#Machine Learning Types#Supervised Learning#Unsupervised Learning#AI/ML Fundamentals

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