AI Associate AI Capabilities in CRM Practice Question
Exhibit
Error: Lead Scoring is not available. Reason: Insufficient data. Minimum required: 100 leads with activities. Current count: 87.
Refer to the exhibit. A Salesforce admin sees this error when trying to enable Einstein Lead Scoring. What should the admin do to resolve the issue?
⚠ Common exam trap
Salesforce often tests the minimum data requirement (100 leads with activities) as a common pitfall, where candidates mistakenly focus on permissions or feature toggles instead of the data prerequisite.
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
✓
Add more lead records with associated activities until reaching at least 100
Einstein Lead Scoring requires a minimum of 100 lead records with associated activities (e.g., emails, events, tasks) to generate a predictive model. The error indicates insufficient data, so adding more leads with activities meets the threshold for model training.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable Einstein features in the org
Why it's wrong here
Error is data-related, not feature enablement.
- ✗
Map lead fields to Einstein fields
Why it's wrong here
Field mapping is not required for lead scoring.
- ✓
Add more lead records with associated activities until reaching at least 100
Why this is correct
The model needs 100 leads with activities to train.
- ✗
Grant the admin the 'Manage Einstein' permission
Why it's wrong here
Permission is not the issue; data is insufficient.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI Associate practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI Associate exam.