Exam Certified Machine Learning Associate topic 1 question 47 discussion

Actual exam question from Databricks's Certified Machine Learning Associate

Question #: 47
Topic #: 1

[All Certified Machine Learning Associate Questions]

A data scientist wants to use Spark ML to one-hot encode the categorical features in their PySpark DataFrame features_df. A list of the names of the string columns is assigned to the input_columns variable.
They have developed this code block to accomplish this task:

The code block is returning an error.
Which of the following adjustments does the data scientist need to make to accomplish this task?

A. They need to specify the method parameter to the OneHotEncoder.
B. They need to remove the line with the fit operation.
C. They need to use StringIndexer prior to one-hot encoding the features.
D. They need to use VectorAssembler prior to one-hot encoding the features.

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Suggested Answer: C 🗳️

by oliver29 at Dec. 12, 2024, 7:46 p.m.

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oliver29

1 month, 3 weeks ago

Selected Answer: C

The OneHotEncoder requires numeric indices as inputs, which are generated by StringIndexer. The data scientist needs to first transform the string columns into numeric indices using StringIndexer and then pass these indices to OneHotEncoder.

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Exam Certified Machine Learning Associate topic 1 question 47 discussion

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oliver29

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