Scenario: Executive Services, Inc. (ESI), a azure video
dp-100-data-scientist-assoc video for scenario: Executive Services, Inc. (ESI), a leading headhunter agency, is headquartered in Manhattan, New York, and has
Full Certification Question
Scenario: Executive Services, Inc. (ESI), a leading headhunter agency, is headquartered in Manhattan, New York, and has successfully placed top-level executives at major companies worldwide. CEO Lenny Rollie has enlisted your expertise to advise the IT team on internal Azure Machine Learning projects. Currently, the team is working with an Azure blob container that stores TSV files, registered as a datastore for an Azure Machine Learning service workspace. Each file follows a consistent data schema. The developer plans to aggregate data from all TSV files and register the combined dataset using the Azure Machine Learning SDK for Python. The developer executed the following code: python from azureml . core . workspace import Workspace from azureml . core . datastore import Datastore from azureml . core . dataset import Dataset import pandas as pd datastore_paths = ( datastore , './data/*.tsv' ) myDataset_1 = Dataset . File . from_files ( path = datastore_paths ) myDataset_2 = Dataset . Tabular . from_delimited_files ( path = datastore_paths , separator = ' ' ) Lenny privately asks you whether the myDataset_1.to_path() method returns an array of file paths for all TSV files in the dataset. Question: How should you respond to Lenny regarding the behaviour of myDataset_1.to_path() ?