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Microsoft DP-100 Exam - Topic 3 Question 28 Discussion
Topic #: 3
You use the Azure Machine Learning service to create a tabular dataset named training.dat
a. You plan to use this dataset in a training script.
You create a variable that references the dataset using the following code:
training_ds = workspace.datasets.get("training_data")
You define an estimator to run the script.
You need to set the correct property of the estimator to ensure that your script can access the training.data dataset
Which property should you set?
A)
B)
C)
D)
Example:
# Get the training dataset
diabetes_ds = ws.datasets.get('Diabetes Dataset')
# Create an estimator that uses the remote compute
hyper_estimator = SKLearn(source_directory=experiment_folder,
inputs=[diabetes_ds.as_named_input('diabetes')], # Pass the dataset as an input
compute_target = cpu_cluster,
conda_packages=['pandas','ipykernel','matplotlib'],
pip_packages=['azureml-sdk','argparse','pyarrow'],
entry_script='diabetes_training.py')
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