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Exam Certified Machine Learning Professional All Questions

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Exam Certified Machine Learning Professional topic 1 question 28 discussion

Actual exam question from Databricks's Certified Machine Learning Professional
Question #: 28
Topic #: 1
[All Certified Machine Learning Professional Questions]

A machine learning engineer is converting a Hyperopt-based hyperparameter tuning process from manual MLflow logging to MLflow Autologging. They are trying to determine how to manage nested Hyperopt runs with MLflow Autologging.
Which of the following approaches will create a single parent run for the process and a child run for each unique combination of hyperparameter values when using Hyperopt and MLflow Autologging?

  • A. Starting a manual parent run before calling fmin
  • B. Ensuring that a built-in model flavor is used for the model logging
  • C. Starting a manual child run within the objective_function
  • D. There is no way to accomplish nested runs with MLflow Autologging and Hyperopt
  • E. MLflow Autologging will automatically accomplish this task with Hyperopt
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Suggested Answer: A 🗳️

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random_data_guy
11 months ago
Selected Answer: A
A the notebook linked here https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl-hyperparam-tuning/hyperopt-spark-mlflow-integration#parallelize-hyperparameter-tuning-with-automated-mlflow-tracking-notebook shoes that a parent run is started before calling fmin
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BokNinja
11 months, 2 weeks ago
A Correct. The approach that will create a single parent run for the process and a child run for each unique combination of hyperparameter values when using Hyperopt and MLflow Autologging is starting a manual parent run before calling fmin1.
upvoted 1 times
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