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You need to consider the underlined segment to establish whether it is accurate.
To transform a categorical feature into a binary indicator, you should make use of the Clean Missing Data module.
A. No adjustment required.
B. Convert to Indicator Values
C. Apply SQL Transformation
D. Group Categorical Values
Correct Answer: B
Explanation/Reference:
Explanation:
Use the Convert to Indicator Values module in Azure Machine Learning Studio. The purpose of this module is to convert columns that contain categorical values into a series of binary indicator columns that can more easily be used as features in a machine learning model.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-indicator-values