AI Associate Data for AI Practice Question
A company uses Einstein Prediction Builder to predict customer churn. The data includes account creation date, number of support cases, and average payment delay. After training, the model shows low confidence scores. What is the most likely cause?
⚠ Common exam trap
Salesforce often tests the misconception that low confidence is caused by dataset size or refresh frequency, when in reality data quality issues like missing values or outliers are the primary culprit in Einstein Prediction Builder.
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 data contains many missing values or outliers for the selected fields.
Low confidence scores in Einstein Prediction Builder often stem from data quality issues such as missing values or outliers. These anomalies distort the model's ability to learn meaningful patterns, leading to uncertain predictions. Clean, complete data is essential for the model to produce high-confidence scores.
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 training dataset includes fewer than 500 records.
Why it's wrong here
While sample size matters, 500 records is usually sufficient for Prediction Builder.
- ✓
The data contains many missing values or outliers for the selected fields.
Why this is correct
Missing values and outliers degrade model performance, leading to low confidence scores.
- ✗
The prediction field is set to a numeric type instead of a picklist.
Why it's wrong here
Field type mismatch affects training but confidence is more impacted by data quality issues.
- ✗
The model was trained on data refreshed daily instead of weekly.
Why it's wrong here
Refresh frequency affects timeliness but not necessarily confidence if data quality is good.
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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.