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NEW QUESTION: 1
What two new features are introduced with virtual machine compatibility version 13? (Choose two.)
A. VMXNET 4
B. Virtual NVMe
C. IDE hot plug support
D. Virtual Memory maximum 6128 GB
Answer: B,D

NEW QUESTION: 2
For your enterprise ISE deployment, you want to use certificate-based authentication for all your Windows machines you have already pushed the machine and user certificates out to all the machines using GPO. By default, certificate-based authentication does not check the certificate against Active Directory, or requires credentials from the user. This essentially means that no groups are returned as part of the authentication request. In which way can the user be authorized based on Active Directory group membership?
A. Configure the Windows supplicant to used saved credentials as well as certificate based authentication.
B. Enable Change of Authorization on the deployment to perform double authentication.
C. Use EAP authorization to retrieve group information from Active Directory.
D. Configure Network Access Device to bypass certificate-based authentication and push configured user credentials as a proxy to ISE.
E. Use ISE as the Certificate Authority, which allows for automatic group retrieval from Active Directory to perform the required authorization
F. The certificate must be configured with the appropriate attributes that contain appropriate group information, which can be used in Authorization policies.
Answer: F

NEW QUESTION: 3
(True or False) You can convert a layout from a Smart Layout to a Free Form Layout and back to a Smart Layout by editing the layout's properties panel.
A. False
B. True
Answer: A

NEW QUESTION: 4
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 B
C. Option D
D. Option C
Answer: A
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%20Training.ipynb