AI Associate AI Fundamentals Practice Question
A CRM team wants to predict the expected revenue from each opportunity. The data includes opportunity amount, close date, stage, and historical win rates. Which type of AI is best suited?
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
Predictive AI uses historical data to forecast outcomes. Regression (a type of predictive AI) predicts a continuous value like revenue.
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; does not predict a specific value.
- ✓
Predictive AI
Why this is correct
Correct. Predictive AI forecasts numeric outcomes using regression models.
- ✗
Generative AI
Why it's wrong here
Generative AI creates new content, not predictions.
- ✗
Reinforcement learning
Why it's wrong here
Reinforcement learning learns via trial and error; not suited for static prediction.
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This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.