When you implement the Clean Missing Data module to a set of data, the Minimum missing value ratio and Maximum missing value ratio are two important factors in replacing the missing values.If the Maximum missing value is set to 1, what does it mean? [ select the one that suits best]

Answer options:

A.missing values are cleaned only when 100% of the values in the column are missing.
B.missing values are cleaned even if there is only one missing value.
C.missing values are cleaned only when there is only one missing value.
D.missing values won’t be cleaned.
E.missing values are cleaned even if 100% of the values in the column are missing.

Correct Answer: E 
Maximum missing value ratio is specified as the maximum number of missing values that can be present for the operation that is to be executed. By default, the Maximum missing value ratio is set to 1 which indicates that missing values will be cleaned even if 100% of the values in the column are missing.
Option A is incorrect. The use of the word “Only When” does not rightly state the meaning.
Option B is incorrect. Setting Minimum missing value ratio property to 0 actually means that missing values are cleaned even if there is only one missing value.
Option C is incorrect. Minimum and Maximum missing value ratios talk only about minimum and maximum ratios, not a specific number.
Option D is incorrect.The given statement is not right.
Option E is correct. Setting the Maximum missing value ratio to 1 indicates that missing values will be cleaned even if 100% of the values in the column are missing.
Reference: 
To know more about the clean missing Data Module, please visit the below-given link: 

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