Databricks Machine Learning Associate Question 80: You are working on a machine learning project in Databricks and want... | Databricks Machine Learning Associate Dumps

Databricks Machine Learning Associate practice question 80 of 656

Databricks Certified Machine Learning Associate. Associate level, Databricks. Free question with the correct answer and a full explanation.

Databricks Machine Learning Associate Question 80

Select 2

You are working on a machine learning project in Databricks and want to save the processed feature data into the Databricks Feature Store. Which of the following steps are required to successfully write the data to a feature store table?

A
Use the FeatureStoreClient.create_feature_table method to define and write the feature table.
B
Ensure the DataFrame to be written has a primary key column and timestamp column if required.
C
Register the feature store table to a catalog in Databricks.
D
Use the FeatureStoreClient.write_table method to write the DataFrame to the feature store table.
E
Save the feature store table as a Delta table using the write.format('delta') method.

Show answer and explanation

Correct answers: B, D

Explanation

Writing data to a feature store table in Databricks involves ensuring that the DataFrame contains the necessary schema (primary key and optional timestamp) and then using the FeatureStoreClient.write_table method to save the features to the table. Other steps, like defining or registering the table, are related but not part of the data writing process itself.

A. Incorrect.
Incorrect. The FeatureStoreClient.create_feature_table method defines the feature table, but it does not perform the action of writing data into the table. Writing the data requires a separate step.
B. Correct.
Correct. The DataFrame must include a primary key column and optionally a timestamp column, depending on the use case, as these are required for proper indexing in the feature store.
C. Incorrect.
Incorrect. Registering a feature store table in a catalog is not a mandatory step for writing data to the feature store. It is primarily for organizational purposes and access control.
D. Correct.
Correct. The FeatureStoreClient.write_table method is explicitly used to write feature data to an existing feature store table in Databricks.
E. Incorrect.
Incorrect. The Feature Store does not rely on directly saving Delta tables with write.format('delta'). Instead, it uses the specialized FeatureStoreClient methods for feature-specific operations.

Databricks Machine Learning Associate practice question 80 of 656

Databricks Machine Learning Associate Question 80

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