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

B. Remove entire column

C. Remove entire row

D. Hot Deck

E. Custom substitution value

F. Replace with mode




 

Suggested Answer: C

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

This question is in DP-100 Exam
For getting Microsoft Azure Data Scientist Associate Certificate


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