AI Associate Salesforce Einstein AI Features Practice Question
An administrator is configuring Einstein Lead Scoring. After activation, lead scores are visible in the lead record page. However, some leads that are clearly not interested (e.g., bounced email) are scored 90+. What is the MOST likely reason?
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 administrator did not exclude bounced leads from the training population
Einstein Lead Scoring uses historical conversion data. If the history includes leads that converted despite bounces or the model learns from patterns that don't match current behavior, scores may be inaccurate. But the question describes a scenario where the model is not trained on the correct audience. The best answer is that the administrator did not exclude inappropriate records from the training set.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Einstein Lead Scoring only works for imported leads
Why it's wrong here
It works for all leads.
- ✗
The lead score field is not added to the page layout
Why it's wrong here
The field is visible, so layout is fine.
- ✓
The administrator did not exclude bounced leads from the training population
Why this is correct
Training data should include leads that had a chance to convert; excluding bounced leads prevents the model from learning from irrelevant records.
- ✗
The model requires at least 2000 converted leads to be accurate
Why it's wrong here
Even if accurate, the issue is about training data quality, not quantity.
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