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Question 69 - DP-100 discussion

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You are creating a machine learning model. You have a dataset that contains null rows.

You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify and resolve the null and missing data in the dataset.

Which parameter should you use?

A.
Replace with mean
Answers
A.
Replace with mean
B.
Remove entire column
Answers
B.
Remove entire column
C.
Remove entire row
Answers
C.
Remove entire row
D.
Hot Deck
Answers
D.
Hot Deck
E.
Custom substitution value
Answers
E.
Custom substitution value
F.
Replace with mode
Answers
F.
Replace with mode
Suggested answer: C

Explanation:

Remove entire row: Completely removes any row in the dataset that has one or more missing values. This is useful if the missing value can be considered randomly missing.

Reference: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

asked 02/10/2024
Feroz Khan
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