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NEW QUESTION: 1



Cisco SensorBaseに既知の不良ホストとしてリストされているIPアドレスに関して、センサーはどのようなアクションを取りますか
ネットワーク？
A. グローバル相関はアグレッシブモードで設定されています。これは拒否に対して非常に積極的な効果をもたらします。
行動。
B. グローバル相関は、実際にホストを拒否せずに機能をテストするために監査モードで設定されています。
C. レピュテーションフィルタリングが無効になっています。
D. 既知の不良ホストリストに基づいてリスク評価値を調整することはありません。
Answer: C
Explanation:
Explanation
This can be seen on the Globabl Correlation - Inspection/Reputation tab show below:

NEW QUESTION: 2
Which two subscriber audiences can be created by using Measures in a Data Filter? Choose 2 answers
A. Subscribers who have not clicked in the past three months.
B. Subscribers within a 30-mile radius of a zip code.
C. Subscribers who have opened an email in the past 30 days.
D. Subscribers who have submitted spam complaints in the last week.
Answer: A,C

NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
スクリプトという名前のローカルフォルダーにtrain.pyという名前のPythonスクリプトがあります。スクリプトは、scikit-learnを使用して回帰モデルをトレーニングします。スクリプトには、やはりスクリプトフォルダーにあるトレーニングデータファイルを読み込むコードが含まれています。
スクリプトは、aml-computeという名前の計算クラスターでAzure ML実験として実行する必要があります。
モデルトレーニングに必要なパッケージが環境に含まれるように、実行を構成する必要があります。ターゲットの計算クラスターを参照するaml-computeという名前の変数をインスタンス化しました。
解決策：次のコードを実行します。

ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: A
Explanation:
The scikit-learn estimator provides a simple way of launching a scikit-learn training job on a compute target. It is implemented through the SKLearn class, which can be used to support single-node CPU training.
Example:
from azureml.train.sklearn import SKLearn
}
estimator = SKLearn(source_directory=project_folder,
compute_target=compute_target,
entry_script='train_iris.py'
)
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-scikit-learn