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NEW QUESTION: 1
How are customizing includes created?
A. Customizing transactions
B. ABAP Workbench
C. Project Enhancement
D. In the ABAP Dictionary
Answer: A

NEW QUESTION: 2
Which IOS command is used to define the authentication key for NTP?
A. Switch(config)#ntp source 192.168.0.1
B. Switch(config)#ntp authenticate
C. Switch(config)#ntp authentication-key 1 md5 C1sc0
D. Switch(config)#ntp trusted-key 1
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 D
B. Option B
C. Option A
D. Option C
Answer: C
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