AI Associate Salesforce Einstein AI Features Practice Question
A sales operations manager notices that Einstein Lead Scoring is not producing scores for some leads. The leads have all required fields populated. What is the most likely cause?
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
✓
There are fewer than 500 leads with the score field populated
Einstein Lead Scoring requires a minimum number of leads (usually 500) with the score field populated before it can start generating scores. Fewer leads mean the model cannot be built.
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 user does not have the 'View Lead Score' permission
Why it's wrong here
Permission issues would hide the score, not prevent calculation.
- ✗
The lead source field is not included as a feature
Why it's wrong here
Missing features may affect accuracy but not prevent scoring entirely.
- ✗
The leads were created in a different Salesforce instance
Why it's wrong here
Cross-instance issues are not relevant; scoring works within the same org.
- ✓
There are fewer than 500 leads with the score field populated
Why this is correct
Einstein needs a sufficient training set; the minimum is typically 500 leads.
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