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Databricks Databricks-Machine-Learning-Associate Exam Dumps Questions and Answers

Exam Code: Databricks-Machine-Learning-Associate
Certification: ML Data Scientist
Vendor: Databricks
Last Update: Dec 21, 2024
Questions: 74 With Expert Explanation
10  Customers Passed Databricks Databricks-Machine-Learning-Associate
95%  Average Success In Real Exam
88%  Questions came word by word from this dump
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Databricks Certified Machine Learning Associate Exam Questions and Answers

Questions 1

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

Options:

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

E.

pandas API on Spark DataFrames are unrelated to Spark DataFrames

Questions 2

A data scientist is attempting to tune a logistic regression model logistic using scikit-learn. They want to specify a search space for two hyperparameters and let the tuning process randomly select values for each evaluation.

They attempt to run the following code block, but it does not accomplish the desired task:

Which of the following changes can the data scientist make to accomplish the task?

Options:

A.

Replace the GridSearchCV operation with RandomizedSearchCV

B.

Replace the GridSearchCV operation with cross_validate

C.

Replace the GridSearchCV operation with ParameterGrid

D.

Replace the random_state=0 argument with random_state=1

E.

Replace the penalty= ['12', '11'] argument with penalty=uniform ('12', '11')

Questions 3

A data scientist has developed a linear regression model using Spark ML and computed the predictions in a Spark DataFrame preds_df with the following schema:

prediction DOUBLE

actual DOUBLE

Which of the following code blocks can be used to compute the root mean-squared-error of the model according to the data in preds_df and assign it to the rmse variable?

A)

B)

C)

D)

E)

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

E.

Option E