AI Associate AI Fundamentals Practice Question
A marketing manager wants to predict which customers are most likely to respond to a new email campaign. Which type of machine learning 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
✓
Supervised learning
Supervised learning uses labeled historical data (e.g., past response data) to predict a specific outcome (respond vs. not respond).
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; it does not predict outcomes from labeled data.
- ✓
Supervised learning
Why this is correct
Correct. Uses labeled data (responded/did not respond) to train a model.
- ✗
Unsupervised learning
Why it's wrong here
Unsupervised learning finds patterns without labels; it does not predict a specific outcome.
- ✗
Reinforcement learning
Why it's wrong here
Reinforcement learning learns via rewards from actions; not suited for static prediction from historical data.
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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.