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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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