Databricks Machine Learning Associate Question 84
Select 3You are working on a machine learning project where you need to store features in a Databricks Feature Store for future model training and serving. Which of the following steps are necessary to write data to a feature store table in Databricks?
- A
Define a feature store client using
FeatureStoreClient. - B
Ensure the data to be written is in a Delta table format.
- C
Specify a unique primary key for the feature store table.
- D
Register the feature store table to a Unity Catalog schema.
- E
Use the
write_tablemethod of the feature store client to write the data.
Show answer and explanation
Correct answers: A, C, E
Explanation
To write data to a feature store table in Databricks, you must first initialize the FeatureStoreClient to interact with the Databricks Feature Store. You also need to define a primary key for the data, as this is essential for managing feature records in the store. Finally, the write_table method is used to write the data to the feature store table. While Delta format is commonly used in Databricks, it is not a strict requirement for the data being written to the feature store.
- A. Correct.
Correct. The
FeatureStoreClientis required to interact with the Databricks Feature Store and perform operations like writing data. - B. Incorrect.
Incorrect. While Delta tables are commonly used, the data does not need to be in Delta format to be written to a feature store table. It can be in a DataFrame format.
- C. Correct.
Correct. A unique primary key is required to identify and manage the records in the feature store table.
- D. Incorrect.
Incorrect. Registering the feature store table in a Unity Catalog schema is not a mandatory step for writing data to the feature store.
- E. Correct.
Correct. The
write_tablemethod is the appropriate method to write data to a feature store table.