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Exam Certified Machine Learning Professional All Questions

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Exam Certified Machine Learning Professional topic 1 question 19 discussion

Actual exam question from Databricks's Certified Machine Learning Professional
Question #: 19
Topic #: 1
[All Certified Machine Learning Professional Questions]

A data scientist would like to enable MLflow Autologging for all machine learning libraries used in a notebook. They want to ensure that MLflow Autologging is used no matter what version of the Databricks Runtime for Machine Learning is used to run the notebook and no matter what workspace-wide configurations are selected in the Admin Console.
Which of the following lines of code can they use to accomplish this task?

  • A. mlflow.sklearn.autolog()
  • B. mlflow.spark.autolog()
  • C. spark.conf.set(“autologging”, True)
  • D. It is not possible to automatically log MLflow runs.
  • E. mlflow.autolog()
Show Suggested Answer Hide Answer
Suggested Answer: E 🗳️
by BokNinja at Dec. 19, 2023, 2:51 a.m.

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hugodscarvalho
10 months ago
Selected Answer: E
mlflow.autolog(): MLflow Autologging is enabled for all supported libraries without explicitly specifying each library. Doc: https://mlflow.org/docs/latest/python_api/mlflow.html#mlflow.autolog
upvoted 3 times
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Gursethi
10 months, 3 weeks ago
Correct Answer: E https://mlflow.org/blog/2023/11/30/using-autolog/index.html#:~:text=MLflow's%20automatic%20logging%20functionality%20offers,specify%20what%20to%20capture%20manually.
upvoted 2 times
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BokNinja
11 months, 2 weeks ago
The correct answer is E. mlflow.autolog()1. This function enables autologging for each supported library you have installed as soon as you import it1. It allows you to log metrics, parameters, and models without the need for explicit log statements
upvoted 4 times
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