AI Associate AI Fundamentals Practice Question
A sales operations manager wants to use AI to predict which leads are most likely to convert. The CRM has historical data on past leads, including whether they were won or lost, along with demographic and behavioral attributes. Which machine learning type should 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
✓
Supervised learning
Supervised learning uses labeled historical data (won/lost outcomes) to predict future outcomes, making it the best fit for lead scoring.
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, not predictions based on historical labels.
- ✓
Supervised learning
Why this is correct
Supervised learning trains on labeled data (outcomes) to predict new outcomes, ideal for lead scoring.
- ✗
Unsupervised learning
Why it's wrong here
Unsupervised learning finds patterns without labels, but lead scoring requires a specific target outcome (won/lost).
- ✗
Reinforcement learning
Why it's wrong here
Reinforcement learning uses rewards from actions; it is not suitable for predicting a binary outcome from historical data.
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