AI-900 · Question #166
You have an Azure Machine Learning pipeline that contains a Split Data module. The Split Data module outputs to a Train Model module and a Score Model module. What is the function of the Split Data mo
The correct answer is B. creating training and validation datasets. The Split Data module in an Azure Machine Learning pipeline is used to divide a dataset into distinct subsets for training and validation purposes.
Question
Options
- Ascaling numeric variables so that they are within a consistent numeric range
- Bcreating training and validation datasets
- Cdiverting records that have missing data
- Dselecting columns that must be included in the model
How the community answered
(24 responses)- A4% (1)
- B92% (22)
- D4% (1)
Why each option
The Split Data module in an Azure Machine Learning pipeline is used to divide a dataset into distinct subsets for training and validation purposes.
Scaling numeric variables is performed by data transformation modules like 'Normalize Data', not the 'Split Data' module.
The Split Data module's primary function is to partition a dataset into two parts, typically a training set for model learning and a separate test or validation set for evaluating the model's performance on unseen data.
Diverting records with missing data is handled by data cleaning modules, such as 'Clean Missing Data', not the 'Split Data' module.
Selecting specific columns for inclusion in a model is achieved using modules like 'Select Columns in Dataset', not the 'Split Data' module.
Concept tested: Data splitting for model training and evaluation
Source: https://learn.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data?view=azureml-inference-oss-sdk
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