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AI Associate Data for AI Practice Question

A company wants to use its data from Salesforce to train an Einstein AI model. However, they need to exclude records where the customer has opted out of data use. Which field should they configure in the Data Manager?

⚠ Common exam trap

Salesforce often tests the misconception that any field indicating consent can be used, but the Data Manager specifically requires a checkbox field named 'Data Use Opt-Out' to automatically filter records.

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

A checkbox field named Data Use Opt-Out

The Data Manager in Einstein AI uses a standard checkbox field named 'Data Use Opt-Out' to identify records that should be excluded from model training. When this checkbox is true, the system automatically filters out those records during data preparation, ensuring compliance with data privacy requirements.

Answer analysis

Option-by-option breakdown

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

  • A checkbox field named Data Use Opt-Out

    Why this is correct

    Salesforce Data Manager uses a checkbox field to mark records that should be excluded from AI training.

  • The Record Type of the object

    Why it's wrong here

    Record Type does not control data opt-out; it's for business process differentiation.

  • A picklist field on the object

    Why it's wrong here

    Picklist fields are not used for opt-out; they store categorical values.

  • A formula field that evaluates to true

    Why it's wrong here

    Formula fields are not referenced by Data Manager for opt-out; only checkbox fields are supported.

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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.