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NEW QUESTION: 1
confirms that a change has occurred in the economy and tends to follow changes in the economy.
A. Lagging indicator
B. Economy test indicator
C. Production indicator
D. Leading indicator
Answer: A

NEW QUESTION: 2
In the Approval Management Engine (AME), Parallel Approvals can work only when________.
A. A single approval group is involved.
B. No approval groups are involved.
C. Multiple approval groups are involved.
D. There is an approval group with Serial also defined.
E. Approvals are static.
Answer: C

NEW QUESTION: 3
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 C
B. Option D
C. Option B
D. Option A
Answer: D
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