Multiple ChoiceBeginner 45s
Feature store purpose in ML pipelines
What is the primary problem a feature store solves in a recommendation pipeline?
Options
- 1Compressing the large model weights before deployment
- 2Consistent feature computation for both training and serving
- 3Replacing the whole ranking model entirely every day
- 4Storing raw clickstream logs permanently and forever
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