Free Databricks Databricks-Certified-Machine-Learning-Associate Exam Questions

Which of the following evaluation metrics is not suitable to evaluate runs in AutoML experiments for regression problems?

What is the name of the method that transforms categorical features into a series of binary indicator feature variables?

Which of the following evaluation metrics is not suitable to evaluate runs in AutoML experiments for regression problems?

The implementation of linear regression in Spark ML first attempts to solve the linear regression problem using matrix decomposition, but this method does not scale well to large datasets with a large number of variables.

Which of the following approaches does Spark ML use to distribute the training of a linear regression model for large data?

A data scientist is wanting to explore the Spark DataFrame spark_df. The data scientist wants visual histograms displaying the distribution of numeric features to be included in the exploration.

Which of the following lines of code can the data scientist run to accomplish the task?