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AI Associate Salesforce Einstein AI Features Practice Question

An administrator wants to build a custom AI model that predicts whether a support case will be escalated based on historical case data. The prediction must be binary (escalated or not). Which tool should they use?

⚠ Common exam trap

It's easy for candidates to confuse Einstein Discovery's analytical capabilities with predictive model building, but Einstein Discovery explains past patterns while Einstein Prediction Builder creates deployable binary prediction models.

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 is the correct tool because it is specifically designed to create custom binary classification models using historical Salesforce data, such as predicting case escalation (yes/no). It requires no data science expertise and automates model training, evaluation, and deployment directly within the Salesforce platform.

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 Discovery

    Why it's wrong here

    Einstein Discovery provides statistical analysis and stories, not binary prediction models.

  • Einstein Next Best Action

    Why it's wrong here

    Next Best Action recommends actions or offers; it does not build predictive models.

  • Einstein Prediction Builder

    Why this is correct

    Prediction Builder is designed for custom binary predictions using Salesforce data.

  • Einstein Vision

    Why it's wrong here

    Einstein Vision handles image classification and object detection, not case escalation prediction.

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Written by Johnson Ajibi, MSc IT Security

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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.