AI Associate AI Fundamentals Practice Question
A marketing team wants to recommend products to customers based on their past purchases and browsing behavior. Which type of AI is most appropriate?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Predictive AI
Product recommendation is a predictive AI task that uses historical data to predict which products a customer is likely to purchase.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Generative AI
Why it's wrong here
Generative AI creates new content (text, images) but does not typically predict purchase likelihood.
- ✗
Reinforcement learning
Why it's wrong here
Reinforcement learning learns through trial and error in an environment; not the standard for recommendations.
- ✓
Predictive AI
Why this is correct
Correct: predictive AI uses historical patterns to forecast future behavior, e.g., product recommendations.
- ✗
Unsupervised learning
Why it's wrong here
Unsupervised learning finds clusters or patterns but does not directly predict which product to recommend.
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This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.