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Databricks Exam Databricks-Machine-Learning-Professional Topic 1 Question 1 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Professional exam
Question #: 1
Topic #: 1
[All Databricks-Machine-Learning-Professional Questions]

A machine learning engineer has developed a model and registered it using the FeatureStoreClient fs. The model has model URI model_uri. The engineer now needs to perform batch inference on customer-level Spark DataFrame spark_df, but it is missing a few of the static features that were used when training the model. The customer_id column is the primary key of spark_df and the training set used when training and logging the model.

Which of the following code blocks can be used to compute predictions for spark_df when the missing feature values can be found in the Feature Store by searching for features by customer_id?

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Suggested Answer: E

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