Free DATABRICKS-MACHINE-LEARNING-ASSOCIATE Web TestEngine Demo

Q13 Single choice

A machine learning engineer is converting a decision tree from sklearn to Spark ML.

During the training process following this conversion, they receive the following error describing that need to set the maxBins parameter to at least 515 (or remove the feature):

Which of the following results in Spark ML needing the maxBins parameter to be at least as large as the number values in each categorical feature?

A
Spark ML tests a limit of 32 split candidates for categorical features in the splitting algorithm
B
Spark ML needs more split candidates in the splitting algorithm than single-node implementations
C
Spark ML needs at least one bin for each category in each categorical feature
D
Spark ML tests only categorical features in the splitting algorithm

DATABRICKS-MACHINE-LEARNING-ASSOCIATE Web TestEngine demo