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.
Ultimate access to all questions.
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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