AI Associate Salesforce Einstein AI Features Practice Question
An admin is troubleshooting why Einstein Lead Scoring is not generating scores for some leads. They have enabled the feature and assigned permission sets. Which two factors could cause scores to be missing?
⚠ Common exam trap
It's easy for candidates to assume missing scores are due to data quality issues (like missing email) or licensing, when the actual cause is a deliberate configuration setting that excludes converted leads from scoring.
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 lead's status is 'Converted' and scoring is configured to exclude converted leads
Einstein Lead Scoring can be configured to exclude leads with a 'Converted' status. If the scoring model is set to skip converted leads, those leads will not receive a score, even if the feature is enabled and permission sets are assigned. This is a common configuration setting that directly prevents scoring for converted records.
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 lead's status is 'Converted' and scoring is configured to exclude converted leads
Why this is correct
Converted leads may be excluded by default or admin settings.
- ✗
The lead has a custom field that is not included in the model
Why it's wrong here
Scoring uses available fields; missing custom fields do not prevent scoring.
- ✗
The lead does not have an email address
Why it's wrong here
Email is not required for scoring; the model uses multiple fields.
- ✗
The lead's owner does not have a Salesforce license
Why it's wrong here
Owner license does not affect scoring.
- ✓
There are fewer than 100 open leads in the org
Why this is correct
Einstein Lead Scoring requires a minimum number of leads (typically 100) to train the model.
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