Microsoft Certified Azure Data Scientist Associate - DP-100

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You create an Azure Machine Learning datastore containing the following files:

All files have the following format:

id,f1,f2,l
1,1,2,0
2,1,1,1
3,2,1,0
4,2,2,1

You run the following code:

from azureml.core import Dataset, Datastore, Workspace

ws = Workspace.from_config()
datastore = Datastore.get(ws, 'your_datastore_name')

You need to create a dataset named training_data that loads the data from all files into a single DataFrame using this code:

training_data = dataset.to_pandas_dataframe()

Solution: Run the following code:

dataset = Dataset.File.from_files(path=(datastore, '/data/*/*.csv'))
training_data = dataset.to_pandas_dataframe()

Does the solution meet the goal?

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