Databricks Machine Learning Associate Question 82
Select 3You are working on a machine learning project and want to store preprocessed features into a Databricks Feature Store table for later use in training and inference. Which of the following steps are required to write data to a feature store table?
- A
Create or retrieve a FeatureStoreClient object.
- B
Define a unique primary key for the feature table.
- C
Use the
write_tablemethod of the FeatureStoreClient to write data to the feature store. - D
Preprocess features using a Feature Store-specific transformation function.
- E
Ensure the data being written is stored in a Delta table format.
Show answer and explanation
Correct answers: A, B, C
Explanation
To write data to a Databricks Feature Store table, you must first create or retrieve a FeatureStoreClient object, define a primary key for the table, and use the write_table method to actually store the data. Preprocessing features and data format constraints (like Delta) are not enforced by the feature store itself, though preprocessing is typically done before writing features.
- A. Correct.
Correct: A FeatureStoreClient object is necessary to interact with the Databricks Feature Store, including writing data to it.
- B. Correct.
Correct: Each feature table in the feature store must have a unique primary key to ensure feature retrieval and updates operate correctly.
- C. Correct.
Correct: The
write_tablemethod is used to write the processed data into a feature store table. - D. Incorrect.
Incorrect: While preprocessing is necessary, there is no requirement to use specific transformation functions tied to the feature store. Any preprocessing done before storing features is valid.
- E. Incorrect.
Incorrect: While Delta tables are often used in Databricks, the feature store can work with a variety of input formats. There is no strict requirement for the data to be in a Delta table format before writing it to the feature store.