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A data scientist is training a machine learning model using Spark MLlib in a Databricks notebook. They aim to save the trained model to the Databricks MLflow tracking server for future use. Which of the following code snippets should they use?
A
mlflow.log_model(trained_model, “model“)
B
mlflow.spark.save_model(trained_model, “model“)
C
mlflow.spark.logModel(trained_model, “model“)
D
mlflow.start_run()mlflow.spark.log_model(trained_model, “model“)mlflow.end_run()
