AI Associate AI Fundamentals Practice Question
A company wants to deploy an Einstein AI model that uses sensitive customer data. Which practice should they follow to comply with data privacy regulations?
⚠ Common exam trap
Salesforce often tests the distinction between procedural compliance steps (like obtaining consent) and technical enforcement mechanisms (like the Einstein Trust Layer), leading candidates to choose Option B because it sounds correct in a general privacy context, but the question specifically asks about deploying the model, where a platform-native feature is the correct answer.
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
✓
Use Einstein Trust Layer features to mask personally identifiable information (PII) in the model.
The Einstein Trust Layer provides built-in capabilities to automatically mask or redact personally identifiable information (PII) before data is sent to the underlying AI model, ensuring compliance with data privacy regulations like GDPR and CCPA without requiring manual data handling. This feature operates at the platform level, intercepting data in transit and applying masking rules based on predefined patterns, so sensitive customer data is never exposed to the model or stored in its training logs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store all sensitive data in an external data lake and connect via APIs.
Why it's wrong here
External storage can introduce security risks and compliance issues.
- ✗
Obtain explicit consent from data subjects before using their data in AI models.
Why it's wrong here
Consent is important but not the sole practice; data protection measures are also needed.
- ✗
Limit the data used for training to only essential fields.
Why it's wrong here
Data minimization helps but does not guarantee compliance with masking requirements.
- ✓
Use Einstein Trust Layer features to mask personally identifiable information (PII) in the model.
Why this is correct
Trust Layer masks PII so the model does not see raw sensitive data.
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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.