Databricks Machine Learning Associate Question 435
Select 3You are working on a machine learning project in Databricks and want to store preprocessed features in a feature store to make them reusable for other models. Which of the following steps must you take to successfully write data to a feature store table?
- A
Define a schema for the DataFrame before writing to the feature store.
- B
Use the
FeatureStoreClientto write the data to the feature store table. - C
Ensure that the feature store table's primary keys are correctly specified.
- D
Run a
MERGEoperation manually to update the feature store table. - E
Register the feature store table with a unique name in the feature store.
Show answer and explanation
Correct answers: B, C, E
Explanation
To write data to a Databricks feature store table, you must use the FeatureStoreClient, ensure primary keys are correctly specified, and register the feature store table with a unique name. These steps are crucial for storing and managing features properly in the feature store. Manual schema definition or MERGE operations are not required because the feature store provides built-in functionality to handle these aspects.
- A. Incorrect.
A schema does not need to be explicitly defined before writing to the feature store, as the schema is inferred from the DataFrame you provide.
- B. Correct.
The
FeatureStoreClientis required to interact with the Databricks Feature Store and write data to a feature store table. - C. Correct.
Primary keys are essential for uniquely identifying feature records in the feature store. Without specifying primary keys, the feature store cannot manage data properly.
- D. Incorrect.
You do not need to manually run a
MERGEoperation. The Databricks Feature Store handles this internally when writing data. - E. Correct.
Feature store tables need to be registered with a unique name to ensure they are accessible and identifiable for reuse across projects.