Exam Certified Machine Learning Associate topic 1 question 24 discussion

Actual exam question from Databricks's Certified Machine Learning Associate

Question #: 24
Topic #: 1

[All Certified Machine Learning Associate Questions]

A machine learning engineer would like to develop a linear regression model with Spark ML to predict the price of a hotel room. They are using the Spark DataFrame train_df to train the model.
The Spark DataFrame train_df has the following schema:

The machine learning engineer shares the following code block:

Which of the following changes does the machine learning engineer need to make to complete the task?

A. They need to call the transform method on train_df
B. They need to convert the features column to be a vector
C. They do not need to make any changes
D. They need to utilize a Pipeline to fit the model
E. They need to split the features column out into one column for each feature

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Suggested Answer: B 🗳️

by nizare at Sept. 14, 2024, 11:04 p.m.

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nizare

2 months, 1 week ago

Correct Answer: B The features column in Spark ML should be a vector type for the linear regression model to work. If the features column is not already a vector, it needs to be converted. This can be done using a VectorAssembler to combine the feature columns into a single vector column, which can then be used as input to the model.

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Exam Certified Machine Learning Associate topic 1 question 24 discussion

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