DATABRICKS-MLP Question 31

Question

A data scientist is utilizing MLflow to track their machine learning experiments. After completing a series of runs for the experiment with experiment ID exp_id, the data scientist wants to programmatically work with the experiment run data in a Spark DataFrame. They have an active MLflow Client client and an active Spark session spark. Which of the following lines of code can be used to obtain run-level results for exp_id in a Spark DataFrame?
A. client.list_run_infos(exp_id)
B. spark.read.format("delta").load(exp_id)
C. There is no way to programmatically return row-level results from an MLflow Experiment.
D. mlflow.search_runs(exp_id)
E. spark.read.format("mlflow-experiment").load(exp_id)

Accepted Answer

Marked answer: E. spark.read.format("mlflow-experiment").load(exp_id)

DATABRICKS-MLP Question 31

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DATABRICKS-MLP Question 31

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