AI Associate Salesforce Einstein AI Features Practice Question
A support manager wants to automatically categorize incoming cases into Type, Priority, and Reason fields. Which Einstein feature should they enable?
⚠ Common exam trap
Watch out — candidates often confuse Einstein Case Classification with Einstein Prediction Builder, thinking any predictive task requires the custom builder, but Case Classification is a purpose-built Einstein feature for this exact 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 the correct feature because it is specifically designed to automatically categorize incoming cases into fields like Type, Priority, and Reason using machine learning models trained on historical case data. This allows the support manager to streamline case routing and prioritization without manual input, 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 Case Classification
Why this is correct
Einstein Case Classification automatically populates case fields like Type, Priority, and Reason based on case details.
- ✗
Einstein Prediction Builder
Why it's wrong here
Einstein Prediction Builder is for custom binary predictions, not pre-built case classification.
- ✗
Einstein Bots
Why it's wrong here
Einstein Bots automate chat conversations, not case field classification.
- ✗
Einstein Article Recommendations
Why it's wrong here
Einstein Article Recommendations suggest knowledge articles to agents after a case is created.
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Written by Johnson Ajibi, MSc IT Security
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.