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Databricks-Machine-Learning-Professional Exam Dumps

Get All Databricks Certified Machine Learning Professional Exam Questions with Validated Answers

Databricks-Machine-Learning-Professional Pack
Vendor: Databricks
Exam Code: Databricks-Machine-Learning-Professional
Exam Name: Databricks Certified Machine Learning Professional
Exam Questions: 60
Last Updated: March 17, 2026
Related Certifications: Machine Learning Professional
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Free Databricks Databricks-Machine-Learning-Professional Exam Actual Questions

Question No. 1

Which of the following MLflow operations can be used to delete a model from the MLflow Model Registry?

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Correct Answer: E

Question No. 2

A machine learning engineer is attempting to create a webhook that will trigger a Databricks Job job_id when a model version for model model transitions into any MLflow Model Registry stage.

They have the following incomplete code block:

Which of the following lines of code can be used to fill in the blank so that the code block accomplishes the task?

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Correct Answer: C

Question No. 3

A data scientist has developed and logged a scikit-learn random forest model model, and then they ended their Spark session and terminated their cluster. After starting a new cluster, they want to review the feature_importances_ of the original model object.

Which of the following lines of code can be used to restore the model object so that feature_importances_ is available?

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Correct Answer: A

Question No. 4

A machine learning engineer has registered a sklearn model in the MLflow Model Registry using the sklearn model flavor with UI model_uri.

Which of the following operations can be used to load the model as an sklearn object for batch deployment?

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Correct Answer: D

Question No. 5

A machine learning engineering team has written predictions computed in a batch job to a Delta table for querying. However, the team has noticed that the querying is running slowly. The team has already tuned the size of the data files. Upon investigating, the team has concluded that the rows meeting the query condition are sparsely located throughout each of the data files.

Based on the scenario, which of the following optimization techniques could speed up the query by colocating similar records while considering values in multiple columns?

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Correct Answer: E

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