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Question 19/178
You use Azure Machine Learning Studio to build a machine learning experiment.
You need to divide data into two distinct datasets.
Which module should you use?
You need to divide data into two distinct datasets.
Which module should you use?
Correct Answer: D
Explanation
The Group Data into Bins module supports multiple options for binning data. You can customize how the bin edges are set and how values are apportioned into the bins.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins
The Group Data into Bins module supports multiple options for binning data. You can customize how the bin edges are set and how values are apportioned into the bins.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-data-into-bins
- Question List (178q)
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Recent Comments (The most recent comments are at the top.)
The correct module to use is A. Split Data.
In Azure Machine Learning Studio, the Split Data module is used to divide data into two distinct datasets, which is often necessary for tasks like splitting the data into training and testing sets.
B. Load Trained Model is used for loading a previously trained model.
C. Assign Data to Clusters is used for assigning data points to clusters in unsupervised learning tasks like clustering.
D. Group Data into Bins is used for binning continuous data into discrete bins, not for splitting datasets.
Split Data