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Ethical AI and Data PrivacyhardMultiple ChoiceObjective-mapped

AI Associate Ethical AI and Data Privacy Practice Question

A healthcare organization uses Einstein Next Best Action to recommend treatment plans to practitioners. A patient disputes a recommendation, claiming it was based on inaccurate historical data. Under GDPR, the patient has the right to obtain an explanation of the automated decision. Which Salesforce feature directly supports this right to explanation?

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

Einstein Trust Layer audit trail and model explainability

Einstein Trust Layer provides transparency and explainability features. The audit trail logs the factors that influenced the recommendation, and model explainability surfaces those factors. The combination of audit trail and explainability directly enables the right to explanation.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Einstein Activity Capture to gather customer interactions

    Why it's wrong here

    Activity Capture logs emails/meetings, not AI decision explanations.

  • Data Processing Addendum (DPA) signed with Salesforce

    Why it's wrong here

    DPA outlines data handling responsibilities but does not provide explanations.

  • Data Cloud permission sets to control data access

    Why it's wrong here

    Permission sets control access, not explanations.

  • Einstein Trust Layer audit trail and model explainability

    Why this is correct

    These provide logged factors and explainability, meeting the right to explanation.

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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.