AI Associate AI Fundamentals Practice Question
A service manager wants to use Einstein Case Classification to automatically categorize incoming cases. What is a prerequisite for training the model?
⚠ Common exam trap
Salesforce often tests the distinction between open and closed cases, and candidates mistakenly think open cases can be used for training because they are more recent or readily available, but the model requires confirmed historical data from closed cases.
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
✓
At least 500 closed cases with the correct category field populated.
Einstein Case Classification uses supervised machine learning to automatically categorize cases. The model learns from historical data, so it requires a sufficient number of closed cases (at least 500) with the correct category field populated to train effectively. Open cases are not used because the model needs confirmed outcomes to learn from.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A minimum of 100 open cases with categories assigned.
Why it's wrong here
Open cases are not used for training.
- ✗
The cases must have been created within the last 30 days.
Why it's wrong here
There is no time restriction on case creation.
- ✓
At least 500 closed cases with the correct category field populated.
Why this is correct
This is the minimum requirement for model training.
- ✗
Users must enable Einstein Case Classification in their personal settings.
Why it's wrong here
The setting is global; users do not enable it individually.
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