Databricks Certified Machine Learning Associate Free Practice Exam Questions

30 real Databricks Certified Machine Learning Associate exam questions with answers and AI explanations. Databricks certification prep — page 2 of 3.

1. Question 15: Which of the Spark operations can be used to randomly split a Spark DataFrame into a training DataFrame and a test DataFrame for downstream use?
2. Question 17: A data scientist is wanting to explore the Spark DataFrame spark_df. The data scientist wants visual histograms displaying the distribution of numeric features…
3. Question 19: A data scientist uses 3-fold cross-validation when optimizing model hyperparameters for a regression problem. The following root-mean-squared-error values are…
4. Question 21: What is the name of the method that transforms categorical features into a series of binary indicator feature variables?
5. Question 22: A data scientist wants to parallelize the training of trees in a gradient boosted tree to speed up the training process. A colleague suggests that parallelizin…
6. Question 24: Which of the following tools can be used to parallelize the hyperparameter tuning process for single-node machine learning models using a Spark cluster?
7. Question 25: Which of the following describes the relationship between native Spark DataFrames and pandas API on Spark DataFrames?
8. Question 26: A data scientist has written a data cleaning notebook that utilizes the pandas library, but their colleague has suggested that they refactor their notebook to…
9. Question 29: Which of the following tools can be used to distribute large-scale feature engineering without the use of a UDF or pandas Function API for machine learning pip…
10. Question 31: The implementation of linear regression in Spark ML first attempts to solve the linear regression problem using matrix decomposition, but this method does not…