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NEW QUESTION: 1

A. Mobile
B. Voicemail
C. Video surveillance
D. Backups
E. Cloud apps
Answer: A,E

NEW QUESTION: 2
Scenario:
CGE decided to virtualize its server workloads and provide a virtual solution to all of its end users. CGE is looking for an image management process that is scalable, but would like to limit infrastructure requirements.
How should the architect design the image management process using Provisioning Services?
A. Deploy one Provisioning Services server in each datacenter, install a new Windows image utilizing a XenServer virtual machine prepared as the master image, install the Virtual Delivery Agent (VDA), and copy the virtual machine image using Fast Clone.
B. Deploy two Provisioning Services servers in each datacenter, install a new Windows image utilizing a XenServer virtual machine prepared as the master image, and include the Virtual Delivery Agent (VDA) and the target device software.
C. Deploy two Provisioning Services servers in each datacenter, install a new Windows image utilizing a XenServer virtual machine prepared as the master image, and install the target device software and Citrix Receiver.
D. Deploy one Provisioning Services server in each datacenter, install a new Windows image utilizing a XenServer virtual machine prepared as the master image, install the Virtual Delivery Agent (VDA), and convert the virtual machine image to a template.
Answer: D

NEW QUESTION: 3
フォルダーを参照するcsvjolderという名前のファイルデータセットを登録します。フォルダーには、AzureストレージBLOBコンテナー内の複数のコンマ区切り値（CSV）ファイルが含まれています。次のコードを使用して、ファイルデータセットからデータをロードするスクリプトを実行する予定です。次の変数を作成してインスタンス化します。

次のコードがあります。


スクリプトが参照するファイルをスクリプトが確実に読み取れるようにするには、データセットを渡す必要があります。コードコメントを置き換えるには、どのコードセグメントを挿入する必要がありますか？
A）

B）

C）

D）

A. オプションC
B. オプションA
C. オプションB
D. オプションD
Answer: D
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

NEW QUESTION: 4

A. Option B
B. Option A
C. Option C
D. Option D
Answer: B
Explanation:
http://download.microsoft.com/download/4/3/D/43D4FED9-54DC-4B3B95B6-B17A15D1CB8F/03-DA-CRM_Datasheet_Oct-2011.pdf http://blogs.msdn.com/b/mvpawardprogram/archive/2012/08/27/microsoft-dynamics-surestep-methodology-revisited.aspx http://technet.microsoft.com/en-us/library/aa496439.aspx