AI Associate Ethical AI and Data Privacy Practice Question
An organization using Einstein Prediction Builder wants to ensure that no customer personally identifiable information (PII) is used in model training. Which data governance practice should they enforce?
⚠ Common exam trap
Candidates often confuse the Einstein Trust Layer's runtime masking with training-time data governance, assuming anonymization prevents PII from being used in model training when it only masks data during prediction.
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
✓
Data minimisation by selecting only non-PII fields as predictors
The question specifically asks how to ensure no PII is used in model training. Data minimization by selecting only non-PII fields as predictors directly prevents PII from entering the training dataset at the source. This is a proactive governance practice that avoids reliance on post-processing or masking, which may still expose PII during intermediate steps.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enabling zero data retention in the Trust Layer
Why it's wrong here
Zero data retention prevents customer data from being used to train base models, but does not prevent PII from being used in custom models.
- ✗
Data anonymization via the Einstein Trust Layer
Why it's wrong here
The Trust Layer masks PII in prompts and responses but does not automatically exclude PII from training datasets.
- ✗
Regularly auditing the model for bias
Why it's wrong here
Auditing for bias checks fairness, not the presence of PII in training data.
- ✓
Data minimisation by selecting only non-PII fields as predictors
Why this is correct
Deliberately excluding PII fields from the prediction definition is the best way to ensure PII is not used in training.
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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.