Question 37
Domain 2 — Data, Machine Learning, and Model DevelopmentWhich AI technique is best suited for analyzing customer purchase history and suggesting similar products?
Correct answer: A
Explanation
Supervised learning fits because it uses labeled examples to learn patterns from past customer purchase history and predict what products a customer may like next. This technique is commonly used for recommendation tasks, where the model learns from known purchase behavior to "suggest similar products."
Why each option is right or wrong
A. Supervised learning
The task involves predicting a product recommendation from past purchase records, which is a labeled prediction problem: the model is trained on historical examples where inputs (customer histories) are paired with known outcomes (items purchased or preferred). In standard AI/ML taxonomy, that is supervised learning under a classification or ranking setup, rather than clustering or reinforcement, because the system learns a mapping from prior examples to a target suggestion.
B. Unsupervised learning
C. Reinforcement learning
D. Deep learning