Exam Certified Machine Learning Associate topic 1 question 46 discussion

Actual exam question from Databricks's Certified Machine Learning Associate

Question #: 46
Topic #: 1

[All Certified Machine Learning Associate Questions]

A data scientist wants to use Spark ML to impute missing values in their PySpark DataFrame features_df. They want to replace missing values in all numeric columns in features_df with each respective numeric column’s median value.
They have developed the following code block to accomplish this task:

The code block is not accomplishing the task.
Which reasons describes why the code block is not accomplishing the imputation task?

A. It does not impute both the training and test data sets.
B. The inputCols and outputCols need to be exactly the same.
C. The fit method needs to be called instead of transform.
D. It does not fit the imputer on the data to create an ImputerModel.

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Suggested Answer: D 🗳️

by oliver29 at Dec. 12, 2024, 7:43 p.m.

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oliver29

1 month, 3 weeks ago

Selected Answer: C

The transform method cannot be used directly on the Imputer. The fit method must first be called to compute the median values for the columns. Only the resulting ImputerModel can apply the transformation.

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Exam Certified Machine Learning Associate topic 1 question 46 discussion

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oliver29

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