Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?
Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?
To return a Spark DataFrame of a data set associated with a Feature Store table, the correct operation is fs.read_table. This function retrieves data from the Feature Store and returns it as a Spark DataFrame.
Doc: https://docs.databricks.com/en/machine-learning/feature-store/workspace-feature-store/feature-tables.html#read-from-a-feature-table
fs.read_table returns Spark df
E is correct
https://docs.databricks.com/en/machine-learning/feature-store/workspace-feature-store/feature-tables.html#read-from-a-feature-table
E. fs.read_table
E. fs.read_table