Exam DP-100 topic 3 question 44 discussion

Actual exam question from Microsoft's DP-100

Question #: 44
Topic #: 3

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?

A. inputs=[file_dataset.as_named_input('training_files')],
B. inputs=[file_dataset.as_named_input('training_files').as_mount()],
C. inputs=[file_dataset.as_named_input('training_files').to_pandas_dataframe()],
D. script_params={'--training_files': file_dataset},

Show Suggested Answer

Suggested Answer: B 🗳️
Example:
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')
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-train-models-with-aml

by ralucabala at April 20, 2021, 10:32 p.m.