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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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