AI Associate Salesforce Einstein AI Features Practice Question
A company wants to automatically categorize incoming support cases by Type, Priority, and Reason. They have historical case data with these fields populated. Which Einstein feature should they configure?
⚠ Common exam trap
A common mix-up: candidates confuse Einstein Case Classification with Einstein Prediction Builder, assuming any custom prediction task requires the builder, but Case Classification is a dedicated, pre-built feature for this specific use case.
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 Case Classification
Einstein Case Classification is specifically designed to automatically categorize incoming support cases by fields like Type, Priority, and Reason using historical case data. It uses machine learning models trained on past case records to predict these categories, enabling automated routing and prioritization without manual rules.
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 Lead Scoring
Why it's wrong here
Lead Scoring is for leads, not case classification.
- ✗
Einstein Article Recommendations
Why it's wrong here
Article Recommendations suggests knowledge articles, not classification.
- ✓
Einstein Case Classification
Why this is correct
Correctly classifies cases into fields like Type, Priority, and Reason.
- ✗
Einstein Prediction Builder
Why it's wrong here
Prediction Builder predicts binary outcomes, not multi-class classification like Type.
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