AI Associate AI Capabilities in CRM Practice Question
A Salesforce admin notices that Einstein Account Scoring is not generating scores for all accounts. Some accounts have no score even though they meet the data requirements. What is the most likely cause?
⚠ Common exam trap
It's easy for candidates to assume missing scores are due to permission issues or missing custom fields, but the real constraint is a hard data volume minimum that the Einstein engine enforces silently.
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 has fewer than 100 account records
Einstein Account Scoring requires a minimum of 100 account records to generate meaningful scores. If the org has fewer than 100 accounts, the model cannot establish a baseline for scoring, resulting in no scores for any account. This is a hard threshold enforced by the Einstein AI engine, not a configurable setting.
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 has fewer than 100 account records
Why this is correct
Einstein requires a minimum data volume (e.g., 100 records) to generate scores.
- ✗
Einstein features are not enabled in the org
Why it's wrong here
Einstein is enabled by default for Professional and Enterprise editions with Sales Cloud.
- ✗
Users do not have the 'View Scores' permission
Why it's wrong here
Permission affects visibility, not score generation.
- ✗
The accounts lack custom fields for scoring
Why it's wrong here
Scoring uses standard and custom fields; lack of custom fields doesn't prevent scoring.
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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.