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Answer: Split Data
The correct answer is A (Split Data) because the Split Data module in Azure Machine Learning Studio is specifically designed to divide a dataset into two distinct sets, such as training and testing datasets. This is confirmed by the official Microsoft documentation referenced in multiple comments and the strong community consensus (85% of users selected A). Option B (Load Trained Model) is unrelated as it loads models, not splits data. Option C (Assign Data to Clusters) is for clustering analysis, not dataset division. Option D (Group Data into Bins) groups data into categories within the same dataset but does not create two separate datasets, making it unsuitable for the requirement of distinct datasets.
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You are building a machine learning experiment in Azure Machine Learning Studio. You need to split your data into two separate datasets. Which module should you use?
A
Split Data
B
Load Trained Model
C
Assign Data to Clusters
D
Group Data into Bins