You are creating a new Azure Machine Learning pipeline using the designer. The pipeline must train a model using data in a comma-separated values (CSV) file that is published on a website. You have…

Question

Options

• AConvert to CSV
• BEnter Data Manually
• CImport Data
• DDataset

• A
  4% (1)
• B
  8% (2)
• C
  4% (1)
• D
  83% (20)

Explanation

The preferred way to provide data to a pipeline is a Dataset object. The Dataset object points to data that lives in or is accessible from a datastore or at a Web URL. The Dataset class is abstract, so you will create an instance of either a FileDataset (referring to one or more files) or a TabularDataset that's created by from one or more files with delimited columns of data. from azureml.core import Dataset iris_tabular_dataset = Dataset.Tabular.from_delimited_files([(def_blob_store, 'train- dataset/iris.csv')]) https://docs.microsoft.com/en-us/azure/machine-learning/how-to-create-your-first-pipeline

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