AI Associate AI Fundamentals Practice Question
A sales team wants to use AI to get product recommendations for customers. Which TWO types of machine learning could be used?
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
✓
Unsupervised learning
Unsupervised learning can find patterns (e.g., customer segments) and supervised learning can predict likelihood to buy, both enabling recommendations.
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
Generates new content, not used for recommending existing products.
- ✗
Reinforcement learning
Why it's wrong here
Used for sequential decisions (e.g., game playing), not typical for static recommendations.
- ✗
Computer vision
Why it's wrong here
Analyzes images, not product recommendations.
- ✓
Unsupervised learning
Why this is correct
Can cluster customers with similar behavior to recommend products others in the cluster bought.
- ✓
Supervised learning
Why this is correct
Can predict which product a customer is likely to buy based on labeled purchase history.
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