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AI Associate Salesforce Einstein AI Features Practice Question

A company wants to build a custom AI model that predicts whether a customer will churn within the next 30 days, using data from multiple Salesforce objects. The prediction should output a score from 0 to 100. Which Einstein feature is most appropriate?

⚠ Common exam trap

Many candidates confuse Einstein Discovery (which provides insights and explanations) with Einstein Prediction Builder (which outputs a custom predictive score), because both use AI and can analyze data, but only Prediction Builder generates a 0–100 probability score for a user-defined outcome.

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 choice because it allows users to build custom predictive models using data from multiple Salesforce objects without writing code, and it outputs a score (0–100) representing the likelihood of a specific outcome, such as customer churn within 30 days. This feature is designed for point-and-click creation of binary classification models that generate a probability score, directly matching the requirement.

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

    Discovery provides insights but does not create deployable prediction models.

  • Einstein Case Classification

    Why it's wrong here

    Case Classification is for classifying case fields, not for general prediction.

  • Einstein Prediction Builder

    Why this is correct

    Prediction Builder enables creating a custom binary classification model predicting churn, with a score field.

  • Einstein Next Best Action

    Why it's wrong here

    Next Best Action recommends actions based on rules or AI, but does not build a prediction model.

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