Answer-first summary for fast verification
Answer: You should make use of the Split Data module.
The question asks for splitting data into two separate datasets in Azure Machine Learning Studio. The Split Data module (Option A) is specifically designed for this purpose, allowing division of datasets into training and testing sets based on specified ratios or criteria. Community discussion strongly supports this with 100% consensus and 34 upvotes for the top comment explaining that Split Data is correct. Other options are unsuitable: Group Categorical Values (B) is for combining categorical values, Clip Values (C) is for limiting numerical ranges, and Group Data into Bins (D) is for discretizing continuous data into bins, not splitting datasets. The community explicitly notes that D is incorrect as it serves a different purpose.
Author: LeetQuiz Editorial Team
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You are building a machine learning experiment in Azure Machine Learning Studio. You need to split your data into two distinct datasets. Which action should you perform?
A
You should make use of the Split Data module.
B
You should make use of the Group Categorical Values module.
C
You should make use of the Clip Values module.
D
You should make use of the Group Data into Bins module.
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