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Salesforce Einstein AI FeaturesmediumMultiple ChoiceObjective-mapped

AI Associate Salesforce Einstein AI Features Practice Question

A company wants to build a custom AI model that predicts whether a support case will be escalated based on fields like case origin, priority, and description. They want to use existing Salesforce data without coding. Which tool should they use?

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 Prediction Builder

Einstein Prediction Builder allows admins to create custom predictions from Salesforce data without coding, using binary classification for yes/no outcomes.

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 Case Classification

    Why it's wrong here

    Case Classification is a pre-built model for categorizing cases, not custom predictions.

  • Einstein Prediction Builder

    Why this is correct

    Prediction Builder is designed for creating custom binary classification models from Salesforce data.

  • Einstein Article Recommendations

    Why it's wrong here

    This recommends knowledge articles, not predictions.

  • Einstein Discovery

    Why it's wrong here

    Discovery provides statistical analysis and recommendations, not custom prediction models.

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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.