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In the context of a machine learning project within Databricks, a data scientist needs to share a trained model with a team member for further evaluation. Which method is recommended for packaging and sharing the model using MLflow?
A
Export the model as a CSV file.
B
Use MLflow to log and save the model artifacts, then share the MLflow run ID.
C
Save the model as a pickled Python object.
D
Share the entire Databricks notebook containing the model code.
