AI Associate Ethical Considerations of AI Practice Question
Exhibit
{
"insightType": "EinsteinTrustLayer",
"config": {
"enableDataMask": true,
"maskFields": ["email", "phone", "ssn"],
"enableSentiment": false,
"enableToxicity": true
}
}Refer to the exhibit. A Salesforce developer configures the Einstein Trust Layer as shown. What is the primary purpose of enabling data masking?
⚠ Common exam trap
Salesforce often tests the distinction between data masking (which protects output privacy) and data encryption (which protects data in transit or at rest), leading candidates to confuse masking with security controls that affect latency or compliance with SLAs.
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
✓
To anonymize personally identifiable information (PII) in the model output.
Enabling data masking in the Einstein Trust Layer ensures that personally identifiable information (PII) is anonymized before the model output is returned to the user. This protects sensitive data from exposure in AI-generated responses, which is a core requirement for privacy compliance and responsible AI use.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
To improve the accuracy of sentiment analysis.
Why it's wrong here
Sentiment analysis is disabled in the config.
- ✗
To reduce latency of the AI response.
Why it's wrong here
Data masking may add slight latency, not reduce it.
- ✓
To anonymize personally identifiable information (PII) in the model output.
Why this is correct
The maskFields specify PII types to be hidden.
- ✗
To comply with Salesforce's service-level agreement.
Why it's wrong here
SLA compliance is not the primary purpose of data masking.
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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.