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Exam Certified Machine Learning Professional All Questions

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Exam Certified Machine Learning Professional topic 1 question 11 discussion

Actual exam question from Databricks's Certified Machine Learning Professional
Question #: 11
Topic #: 1
[All Certified Machine Learning Professional Questions]

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)
Show Suggested Answer Hide Answer
Suggested Answer: E 🗳️
by BokNinja at Dec. 19, 2023, 5:26 a.m.

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hugodscarvalho
10 months ago
Selected Answer: E
Doc: https://docs.databricks.com/en/query/formats/mlflow-experiment.html#load-data-using-experiment-ids
upvoted 4 times
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random_data_guy
11 months ago
Selected Answer: E
https://docs.databricks.com/en/query/formats/mlflow-experiment.html#load-data-using-experiment-ids
upvoted 1 times
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mozuca
11 months ago
Agree with BookNinja. Correct Answer is E - Doc: https://docs.databricks.com/en/query/formats/mlflow-experiment.html
upvoted 1 times
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BokNinja
11 months, 1 week ago
Correct Answer is E. if you want to work with the experiment run data in a Spark DataFrame, you can use E. spark.read.format(“mlflow-experiment”).load(exp_id)
upvoted 4 times
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