MLA
Databricks Machine Learning
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Question 3 of 76

When a model trained with Databricks Feature Store is deployed for real-time serving, how does it retrieve feature values at inference time?

AThe client application must send all feature values in the prediction request payload
BThe model automatically looks up the latest feature values from the feature tables at inference time
CFeatures are pre-computed and stored in the model artifact during training
DA separate batch job must compute and cache features before each prediction

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