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Salesforce Einstein AI FeaturesmediumMultiple ChoiceObjective-mapped

AI Associate Salesforce Einstein AI Features Practice Question

A company needs to predict which support cases are likely to escalate based on historical case data. They have a clear binary outcome (escalated vs not escalated) and want to select features from their case records. Which Einstein tool should they use?

⚠ Common exam trap

It's easy for candidates to confuse Einstein Case Classification (which classifies cases into categories) with predicting a binary outcome, but Case Classification is for multi-class categorization, not binary prediction.

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 enables users to create custom binary classification models using their own historical data without writing code. The requirement to predict a binary outcome (escalated vs not escalated) and select features from case records matches Prediction Builder's point-and-click interface for training a model on a custom object or standard object like Case.

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 Next Best Action

    Why it's wrong here

    Next Best Action recommends actions, not predicts outcomes.

  • Einstein Discovery

    Why it's wrong here

    Discovery provides statistical analysis and stories, not a custom prediction model.

  • Einstein Case Classification

    Why it's wrong here

    Case Classification auto-classifies incoming cases, not predicts escalation.

  • Einstein Prediction Builder

    Why this is correct

    Prediction Builder is designed for creating custom predictions with binary outcomes.

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