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Answer: It is used to explore and track feature tables, raw data sources, notebooks, and jobs.
The Feature Store UI in Databricks serves as a central hub for exploring and tracking feature tables, raw data sources, notebooks, and jobs. It provides a unified interface to discover and manage the features used in your machine learning pipelines. This includes feature discovery, lineage tracking, integration with development tools, and data source management. While it may offer functionalities related to other aspects, its core purpose is not to store raw data, explore raw data, train models, or create Spark DataFrames.
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What is the primary function of the Feature Store UI in Databricks?
A
It is a platform for exploring raw data.
B
It is used to explore and track feature tables, raw data sources, notebooks, and jobs.
C
It is a centralized repository for storing raw data.
D
It is a tool for creating Spark DataFrames.
E
It is used for model training.
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