DP-100 Question #145: Real Exam Question with Answer & Explanation

Question

You register a file dataset named csv_folder that references a folder. The folder includes multiple comma-separated values (CSV) files in an Azure storage blob container. You plan to use the following code to run a script that loads data from the file dataset. You create and instantiate the following variables: You have the following code: You need to pass the dataset to ensure that the script can read the files it references. Which code segment should you insert to replace the code comment?

Options

• Ainputs=[file_dataset.as_named_input('training_files')],
• Binputs=[file_dataset.as_named_input('training_files').as_mount()],
• Cinputs=[file_dataset.as_named_input('training_files').to_pandas_dataframe ()],
• Dscript_params={'--training_files': file_dataset},

Explanation

from azureml.train.estimator import Estimator script_params = { # to mount files referenced by mnist dataset '--data-folder': mnist_file_dataset.as_named_input('mnist_opendataset').as_mount(), '-- regularization': 0.5 est = Estimator(source_directory=script_folder, script_params=script_params, compute_target=compute_target, environment_definition=env, entry_script='train.py') https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-train-models-with-aml

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