
Explanation:
The fe.score_batch function is designed to perform batch scoring by automatically looking up features, making it efficient for processing large datasets in bulk.
What is the primary function of the fe.score_batch function in the given example?
A
To update the feature table with batch predictions.
B
To perform batch scoring using automatic feature lookup.
C
To score individual observations in real-time.
D
To delete feature tables from Unity Catalog.
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