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Ethical AI and Data PrivacyhardMultiple ChoiceObjective-mapped

AI Associate Ethical AI and Data Privacy Practice Question

A Salesforce administrator is setting up Einstein Next Best Action for a marketing campaign. They want to ensure that customer consent preferences are respected. Which action should they take?

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

Configure the recommendation strategy to check the 'HasOptedOutOfEmail' field and exclude customers who have opted out.

Consent management involves checking the customer's communication preferences and honoring opt-outs. This can be done by configuring the recommendation logic to check consent fields or using Data Cloud's consent data.

Answer analysis

Option-by-option breakdown

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

  • Include all customers and let the AI decide who to target, as consent is not relevant for recommendations.

    Why it's wrong here

    Ignoring consent violates privacy regulations and ethical principles.

  • Anonymize customer data before running the AI model so consent is not needed.

    Why it's wrong here

    Anonymization does not eliminate the need to respect opt-out preferences.

  • Configure the recommendation strategy to check the 'HasOptedOutOfEmail' field and exclude customers who have opted out.

    Why this is correct

    This integrates consent directly into the AI decision logic, respecting privacy.

  • Use a data extension to store consents and manually update it weekly.

    Why it's wrong here

    Manual updates are error-prone and not real-time; automation is needed.

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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.