AI Associate AI Fundamentals Practice Question
A sales rep noticed that the Einstein Lead Scoring prediction bar shows 'No score available' for many leads. The admin confirmed that Einstein Lead Scoring is enabled and the permission set is assigned. What is the most likely cause?
⚠ Common exam trap
Salesforce often tests the misconception that 'No score available' is caused by the model still training or by recent lead creation, when in fact it points to insufficient historical data for model training.
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 org does not have enough historical data to train the scoring model.
Einstein Lead Scoring requires a minimum amount of historical lead data (typically at least 2,000 converted and 2,000 unconverted leads) to train its predictive model. If the org lacks sufficient historical data, the model cannot generate scores, resulting in 'No score available' for leads. This is the most likely cause because the admin confirmed the feature and permissions are correctly enabled.
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 org does not have enough historical data to train the scoring model.
Why this is correct
A minimum number of converted leads is needed for the model to generate scores.
- ✗
The leads have not yet been assigned to a user.
Why it's wrong here
Assignment does not impact scoring.
- ✗
The leads were created less than 30 days ago.
Why it's wrong here
Creation date does not affect score availability.
- ✗
The lead scoring model is still training.
Why it's wrong here
If training was needed, the admin would see a training status; scores would be unavailable only if data is insufficient.
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