AI Associate Salesforce Einstein AI Features Practice Question
A company wants to use Einstein Prediction Builder to predict whether a support case will be escalated within the first 24 hours. Which field should be selected as the prediction field?
⚠ Common exam trap
It's easy for candidates to confuse the prediction field with input features, selecting a date or numeric field that seems related to escalation timing, but Einstein Prediction Builder requires a binary target field for classification, not a continuous or text field.
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
✓
A checkbox field named 'Escalated within 24 hours'
Einstein Prediction Builder requires the prediction field to be a binary outcome (e.g., true/false, yes/no) that the model will learn to predict. A checkbox field named 'Escalated within 24 hours' directly represents the binary target (checked = escalated, unchecked = not escalated) needed for supervised classification.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A date field for the escalation date
Why it's wrong here
Date fields are not binary.
- ✗
A text field with case escalation notes
Why it's wrong here
Text fields are not valid prediction fields.
- ✓
A checkbox field named 'Escalated within 24 hours'
Why this is correct
Correct. Checkbox fields are binary and suitable for prediction.
- ✗
A numeric field representing escalation time in hours
Why it's wrong here
Prediction Builder needs a binary field, not a numeric one.
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