AI Associate AI Fundamentals Practice Question
A marketing team wants to use AI to predict which leads are most likely to convert. The CRM contains historical lead data with conversion outcomes. Which type of machine learning 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 data (historical outcomes) to predict future outcomes, making it ideal 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.
- ✗
Unsupervised learning
Why it's wrong here
Unsupervised learning finds patterns without labels, but cannot predict a specific outcome like conversion.
- ✗
Generative AI
Why it's wrong here
Generative AI creates new content, not predictions based on labeled data.
- ✗
Reinforcement learning
Why it's wrong here
Reinforcement learning learns through trial and error, not from historical labeled data.
- ✓
Supervised learning
Why this is correct
Supervised learning uses labeled historical data to train a model to predict conversion probability.
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