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NEW QUESTION: 1
Your company has offices in New York and Santiago. Each office has a server that nas Lync Server 2013
Standard Edition deployed. Each office has a dedicated help desk.
Each help desk maintains a web site that provides users with localized help and training resources.
You need to ensure that when the users sign in to Microsoft Lync 2013, a link to the help desk in their
respective office appears on the Help menu.
What should you use?
A. Location policies
B. Client policies
C. Client policy entries
D. Client version policies
Answer: B
Explanation:
http://technet.microsoft.com/en-us/library/gg398300.aspx

NEW QUESTION: 2
HOTSPOT
A company named Contoso, Ltd. signs an Enterprise Agreement that has Microsoft Office Professional Plus and Windows Enterprise Upgrade.
Contoso wants to know which software the company can download from the Volume Licensing Service Center (VLSC).
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Hot Area:

Answer:
Explanation:


NEW QUESTION: 3
You register a file dataset named csvjolder that references a folder. The folder includes multiple com ma-separated values (CSV) files in an Azure storage blob container. You plan to use the following code to run a script that loads data from the file dataset. You create and instantiate the following variables:

You have the following code:


You need to pass the dataset to ensure that the script can read the files it references. Which code segment should you insert to replace the code comment?
A)

B)

C)

D)

A. Option D
B. Option B
C. Option C
D. Option A
Answer: A
Explanation:
Explanation
Example:
from azureml.train.estimator import Estimator
script_params = {
# to mount files referenced by mnist dataset
'--data-folder': mnist_file_dataset.as_named_input('mnist_opendataset').as_mount(),
'--regularization': 0.5
}
est = Estimator(source_directory=script_folder,
script_params=script_params,
compute_target=compute_target,
environment_definition=env,
entry_script='train.py')
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/tutorial-train-models-with-aml