AI Associate AI Fundamentals Practice Question
A company wants to use Einstein to predict the optimal discount amount for each deal. Which type of machine learning problem does this represent?
⚠ Common exam trap
Salesforce often tests the distinction between regression and classification by presenting a scenario where the output is a number, leading candidates to mistakenly think it is classification because they associate 'prediction' with categories, but the key is whether the output is continuous or discrete.
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
✓
Regression
Predicting a continuous numerical value, such as the optimal discount amount for a deal, is a regression problem. In the context of Einstein, this would use a regression model to learn from historical deal data and output a specific discount percentage or dollar amount, rather than a category or cluster.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reinforcement learning
Why it's wrong here
Reinforcement learning learns from actions and rewards, not typical for this use case.
- ✓
Regression
Why this is correct
Regression predicts continuous numeric outcomes.
- ✗
Classification
Why it's wrong here
Classification predicts discrete labels, not continuous values.
- ✗
Clustering
Why it's wrong here
Clustering groups data without a target variable.
Go deeper
Related to this question
About these practice questions
Courseiva writes every AI Associate question from scratch — 753 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.