AI Associate AI Fundamentals Practice Question
Which TWO statements correctly describe predictive AI compared to generative AI?
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
✓
Predictive AI is used for forecasting numeric outcomes like churn probability
Predictive AI forecasts outcomes (churn, CLV) using historical data, while generative AI creates new content like text or images.
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 is best suited for lead scoring
Why it's wrong here
Lead scoring is a predictive task.
- ✓
Predictive AI is used for forecasting numeric outcomes like churn probability
Why this is correct
Predictive AI excels at regression and classification tasks.
- ✓
Generative AI produces new content such as text, images, or code
Why this is correct
Generative AI models create novel outputs.
- ✗
Both predictive and generative AI rely on the same algorithms
Why it's wrong here
They use different architectures (e.g., transformers for generative, traditional ML for predictive).
- ✗
Predictive AI can generate realistic customer service responses
Why it's wrong here
Generative AI handles response generation, not predictive AI.
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