AI Associate Ethical AI and Data Privacy Practice Question
A data governance officer wants to ensure that customer data used in Einstein Prediction Builder is not retained by Salesforce after the prediction is made. Which Einstein Trust Layer capability guarantees this?
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
✓
Zero data retention
Zero data retention is the specific commitment that customer data used for predictions is not stored or used for training base models. This is a key component of the Einstein Trust Layer.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Grounding
Why it's wrong here
Grounding connects AI to CRM data but does not address data retention.
- ✗
Audit trail
Why it's wrong here
Audit trail logs actions but does not prevent data retention.
- ✓
Zero data retention
Why this is correct
Zero data retention ensures that customer data is not stored or used to improve base models after prediction.
- ✗
PII masking
Why it's wrong here
PII masking redacts sensitive data but does not guarantee that data is not retained.
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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.