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NEW QUESTION: 1
Cisco has a five-phased cloud plan. Which of the following is not one of the phases?
A. Containers and Analytics
B. Cloud Native Stacks
C. Application renewal
D. Multi-cloud management
Answer: C
Explanation:
https://www.cisco.com/c/dam/m/en_emear/events/2016/emeardcpc2016/pdfs/day_3/Cisco_s_Clo ud_Strategy-Do

NEW QUESTION: 2
Identify two profile options that are required to configure Punchout Catalogs in Self Service Procurement.
A. PO_DOC_BUILDER_DEFAULT_DOC_TYPE
B. POR_PROXY_SERVER_NAME
C. PORT_DISPLAY_EMBEDDED_ANALYTICS
D. POR_PROXY_SERVER_PORT
E. PO_DEFAULT_PRC_BU
Answer: B,D

NEW QUESTION: 3
AzureStorageアカウントのBLOBコンテナーを参照するtraining_dataという名前のデータストアを作成します。 blobコンテナーには、複数のコンマ区切り値（CSV）ファイルが格納されているcsv_filesという名前のフォルダーが含まれています。
./scriptという名前のローカルフォルダーにtrain.pyという名前のスクリプトがあり、推定器を使用して実験として実行する予定です。スクリプトには、csv_filesフォルダーからデータを読み取るための次のコードが含まれています。

次のスクリプトがあります。

スクリプトがtraining_dataデータストアのcsv_filesフォルダーを参照するdata_refという名前のデータ参照からデータを読み取ることができるように、実験の推定値を構成する必要があります。
Estimatorを構成するためにどのコードを使用する必要がありますか？

A. オプションC
B. オプションB
C. オプションD
D. オプションE
E. オプションA
Answer: B
Explanation:
Besides passing the dataset through the inputs parameter in the estimator, you can also pass the dataset through script_params and get the data path (mounting point) in your training script via arguments. This way, you can keep your training script independent of azureml-sdk. In other words, you will be able use the same training script for local debugging and remote training on any cloud platform.
Example:
from azureml.train.sklearn import SKLearn
script_params = {
# mount the dataset on the remote compute and pass the mounted path as an argument to the training script
'--data-folder': mnist_ds.as_named_input('mnist').as_mount(),
'--regularization': 0.5
}
est = SKLearn(source_directory=script_folder,
script_params=script_params,
compute_target=compute_target,
environment_definition=env,
entry_script='train_mnist.py')
# Run the experiment
run = experiment.submit(est)
run.wait_for_completion(show_output=True)
Incorrect Answers:
A: Pandas DataFrame not used.
Reference:
https://docs.microsoft.com/es-es/azure/machine-learning/how-to-train-with-datasets