AI Associate Salesforce Einstein AI Features Practice Question
A healthcare company uses Einstein Prediction Builder to predict patient no-shows. After training a model, they receive a low prediction accuracy. Which THREE actions should they take to improve?
⚠ Common exam trap
It's easy for candidates to confuse Einstein Discovery with Einstein Prediction Builder, thinking they are interchangeable, or assume that enabling unrelated features like Case Classification can fix accuracy issues.
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
✓
Increase the number of records in the training dataset
Increasing the number of records in the training dataset helps the model learn more patterns and reduces overfitting, which directly improves prediction accuracy. Einstein Prediction Builder requires a minimum number of historical records to produce statistically significant results, and more data generally leads to better model performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Increase the number of records in the training dataset
Why this is correct
More data generally improves model performance.
- ✗
Use Einstein Discovery instead
Why it's wrong here
Discovery is for analysis, not prediction building.
- ✓
Change the prediction field to a different field
Why this is correct
Selecting a different binary field might yield better results if the original field has poor signal.
- ✗
Enable Einstein Case Classification
Why it's wrong here
Unrelated feature for case classification.
- ✓
Add more relevant features (input fields) to the dataset
Why this is correct
More relevant features can improve model accuracy.
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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.