Databricks Machine Learning Associate Question 434: You are working on a machine learning project in Databricks, and you... | Databricks Machine Learning Associate Dumps

Databricks Machine Learning Associate practice question 434 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 434

Select 3

You are working on a machine learning project in Databricks, and you need to write a DataFrame containing processed features to a Feature Store table for future use. Which of the following steps are required to successfully write the features to the Feature Store table?

A
Ensure the DataFrame includes a primary key column to uniquely identify each record.
B
Use the FeatureStoreClient.create_table method to write the DataFrame to the Feature Store table.
C
Specify the table name and schema correctly when writing the DataFrame to the Feature Store.
D
Register the Feature Store table with the MLflow experiment using the mlflow.register_feature_table method.
E
Use the FeatureStoreClient.write_table method to persist the DataFrame to the Feature Store.

Show answer and explanation

Correct answers: A, C, E

Explanation

To write data to a Feature Store table in Databricks, you need to ensure the DataFrame includes a primary key column for unique identification, specify the correct table name and schema, and use the FeatureStoreClient.write_table method. While the FeatureStoreClient.create_table method is used to define a new feature table, it is not used for writing data. Additionally, MLflow does not directly handle Feature Store registration.

A. Correct.
Correct: A primary key is required for each record in a Feature Store table to uniquely identify the data and enable efficient retrieval.
B. Incorrect.
Incorrect: The FeatureStoreClient.create_table method is used to create a feature table, not to write data to an existing table.
C. Correct.
Correct: The table name and schema must be correctly specified to ensure the data is written to the appropriate Feature Store table.
D. Incorrect.
Incorrect: MLflow does not have a method to directly register Feature Store tables. Feature Store operations are independent of MLflow registration.
E. Correct.
Correct: The FeatureStoreClient.write_table method is specifically used to write a DataFrame to a Feature Store table.

Databricks Machine Learning Associate practice question 434 of 656

Databricks Machine Learning Associate Question 434

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