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NEW QUESTION: 1
You use the Azure Machine Learning service to create a tabular dataset named training.data. 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)

A. Option A
B. Option D
C. Option B
D. Option C
Answer: A
Explanation:
Explanation
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') Reference:
https://notebooks.azure.com/GraemeMalcolm/projects/azureml-primers/html/04%20-%20Optimizing%20Model

NEW QUESTION: 2
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Answer:
Explanation:

NEW QUESTION: 3
Which of the following responsibilities would fall under the role of the chief audit executive, rather than internal audit staff or the audit manager?
A. Maintain industry-specific knowledge appropriate to the audit engagements
B. Set clear performance standards for internal auditors and the internal audit activity.
C. Apply problem-solving techniques for routine situations.
D. Manage and support a quality assurance and improvement program.
Answer: B