Which workload is the best fit for a GENERATIVE AI approach rather than traditional ML?
A.Predicting next month's product demand from 5 years of sales data
Numeric forecasting = traditional ML (regression/time-series).
B.Drafting personalized marketing emails from a product description and customer profile
Correct. Producing novel personalized text is generative AI's strength.
C.Flagging fraudulent transactions in real time
Anomaly classification on transactions is traditional ML.
D.Forecasting server capacity needs from metrics history
Capacity forecasting is regression — a traditional ML task.
Why this answer
Generative AI creates new content — text, images, code. Drafting personalized emails is content generation. Demand prediction, fraud detection, and capacity forecasting are classic predictive/classification ML tasks.
Correct answer: B · Last reviewed 2026-10-26
Official AWS references
Practice this interactively
Answer without seeing the solution first in the AI/ML Foundations practice session.
Practice AI/ML Foundations