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Q6 Single choice

A data scientist has completed a featurization process on a new dataset. They are considering if the resulting features should be saved to an online or offline feature table. They know that the features will be used primarily for real-time inference. After some thought, they decide to use an online feature table instead of an offline feature table.

What aspect of online feature tables enabled their decision for this scenario?

A
They prioritize low-latency access and are optimized for point lookups, typically supported by key-value stores or column-oriented databases.
B
They only support real-time inference so they are the only option.
C
They support both batch and real-time inference equally in terms of cost and performance, providing the most flexibility.
D
They prioritize batch inference and leverage traditional data warehouses or data lakes, making them more cost-effective.

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