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Databricks-Machine-Learning-Associate - Databricks Certified Machine Learning Associate Exam

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Databricks-Machine-Learning-Associate Questions and Answers

Question # 1

A machine learning engineer wants to parallelize the training of group-specific models using the Pandas Function API. They have developed thetrain_modelfunction, and they want to apply it to each group of DataFramedf.

They have written the following incomplete code block:

Which of the following pieces of code can be used to fill in the above blank to complete the task?

A.

applyInPandas

B.

mapInPandas

C.

predict

D.

train_model

E.

groupedApplyIn

Question # 2

Which of the following describes the relationship between native Spark DataFrames and pandas API on Spark DataFrames?

A.

pandas API on Spark DataFrames are single-node versions of Spark DataFrames with additional metadata

B.

pandas API on Spark DataFrames are more performant than Spark DataFrames

C.

pandas API on Spark DataFrames are made up of Spark DataFrames and additional metadata

D.

pandas API on Spark DataFrames are less mutable versions of Spark DataFrames

Question # 3

Which of the following approaches can be used to view the notebook that was run to create an MLflow run?

A.

Open the MLmodel artifact in the MLflow run paqe

B.

Click the "Models" link in the row corresponding to the run in the MLflow experiment paqe

C.

Click the "Source" link in the row corresponding to the run in the MLflow experiment page

D.

Click the "Start Time" link in the row corresponding to the run in the MLflow experiment page

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