AI Associate Data for AI Practice Question
A large enterprise is using Einstein Lead Scoring and notices that the model score is not updating for leads created via a web-to-lead form. The leads have all required fields populated. The admin has verified that the model is active and the data source includes the Lead object. What could be causing the score to remain static?
⚠ Common exam trap
Salesforce often tests the concept that Einstein AI models require a minimum data threshold before they become operational, and candidates mistakenly assume that an 'active' model immediately scores all leads, ignoring the training/pending state requirement.
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 model has not scored enough leads to start scoring new ones
Einstein Lead Scoring requires a minimum number of scored leads (typically 500) before it begins scoring new leads. Until that threshold is met, the model remains in a 'training' or 'pending' state and will not update scores for any leads, including those from web-to-lead forms. The admin has confirmed the model is active and the Lead object is included, so the most likely cause is that the model has not yet processed enough leads to start scoring.
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 data source excludes leads created by web-to-lead
Why it's wrong here
Data sources include all leads regardless of creation method unless filtered.
- ✗
Web-to-lead leads are not supported by Einstein AI
Why it's wrong here
All lead sources are supported.
- ✗
The model is not yet activated
Why it's wrong here
The admin already verified it is active.
- ✓
The model has not scored enough leads to start scoring new ones
Why this is correct
Einstein requires a critical mass of scored records to calibrate the model before scoring new leads.
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