AI Associate AI Fundamentals Practice Question
A predictive model for opportunity scoring shows high precision but low recall. Which business impact is most likely?
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
✓
The sales team misses some convertible opportunities
High precision means few false positives (won deals predicted correctly), but low recall means many actual wins are missed. The sales team will likely miss out on some convertible opportunities.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model is overfitting to the training data
Why it's wrong here
Precision vs recall trade-off is not directly indicative of overfitting; overfitting often affects both.
- ✗
The sales team wastes time on many low-quality opportunities
Why it's wrong here
High precision means few false positives, so time is not wasted on low-quality opportunities.
- ✗
The model overestimates the likelihood of conversion for most opportunities
Why it's wrong here
Precision is high, so overestimation is not the issue; many true positives are missed.
- ✓
The sales team misses some convertible opportunities
Why this is correct
Low recall means many actual winners are not flagged, causing missed opportunities.
Go deeper
Related to this question
About these practice questions
One of 753 original AI Associate practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. 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.