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A machine learning engineer is trying to perform batch model inference. They want to get predictions using the linear regression model saved at the path model_uri for the DataFrame batch_df. batch_df has the following schema: customer_id STRING The machine learning engineer runs the following code block to perform inference on batch_df using the linear regression model at model_uri: In which situation will the machine learning engineer's code block perform the desired inference?
Correct Answer: A
The code block provided by the machine learning engineer will perform the desired inference when the Feature Store feature set was logged with the model at model_uri. This ensures that all necessary feature transformations and metadata are available for the model to make predictions. The Feature Store in Databricks allows for seamless integration of features and models, ensuring that the required features are correctly used during inference. Reference: Databricks documentation on Feature Store: Feature Store in Databricks