Answer-first summary for fast verification
Answer: Partition and Sample
The question asks for a module in Azure Machine Learning Studio that divides data into two distinct datasets. The 'Partition and Sample' module (option C) is specifically designed for this purpose, allowing data partitioning using various methods including stratified splits. The community discussion shows 100% consensus on option C, with multiple comments confirming this is the correct module for data splitting tasks. Other options are unsuitable: 'Assign Data to Clusters' (A) is for clustering assignments, 'Load Trained Model' (B) is for model loading, and 'Tune Model Hyperparameters' (D) is for hyperparameter optimization. While the discussion notes this applies to Studio (classic), the question context clearly specifies Azure Machine Learning Studio, making C the correct choice.
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 separate datasets.
Which module should you use for this task?
A
Assign Data to Clusters
B
Load Trained Model
C
Partition and Sample
D
Tune Model-Hyperparameters
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