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NEW QUESTION: 1

A. Option A
B. Option B
C. Option D
D. Option C
Answer: A
Explanation:

NEW QUESTION: 2
How is throughput capacity scaled in a single channel architecture (SCA) WLAN system?
A. By using downlink data compression and uplink flow control at the AP.
B. By increasing transmit power and placing APs that are on a single channel farther from one another.
C. By using a single 802.11n radio to transmit simultaneous downlink data streams to different users.
D. By adding non-overlapping channel layers through the addition of more APs.
E. By adding more SSIDs to existing APs to spread users across different contention domains.
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B
B. オプションC
C. オプションD
D. オプションA
Answer: C
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

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