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NEW QUESTION: 1
Which Intrusion Detection System (IDS) usually produces the most false alarms due to the unpredictable behaviors of users and networks?
A. anomaly detection
B. network-based IDS systems (NIDS)
C. host-based IDS systems (HIDS)
D. signature recognition
Answer: C
NEW QUESTION: 2
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、述べられた目標を達成する可能性のある独自の解決策が含まれています。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。
あなたは、Contoso、LtdのDynamics 365 for CustomerServiceシステム管理者です。
[email protected]の電子メールアドレスに送信された電子メールからケースを自動的に作成する必要があります。
解決策：自動レコード作成および更新ルールを作成します。ソースタイプをサービスアクティビティに設定してから、キューを選択します。
ソリューションは目標を達成していますか？
A. はい
B. いいえ
Answer: B
NEW QUESTION: 3
: Executing this command will have what effect? options wafl.default_security_style ntfs
A. It will change the security style of all qtrees to be ntfs.
B. It will set the security style of all newly created volumes to ntfs.
C. It will set the security style of all files to be ntfs.
D. It will change the security style of all existing volumes to be ntfs.
Answer: B
NEW QUESTION: 4
You need to configure the Feature Based Feature Selection module based on the experiment requirements and datasets.
How should you configure the module properties? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Mutual Information.
The mutual information score is particularly useful in feature selection because it maximizes the mutual information between the joint distribution and target variables in datasets with many dimensions.
Box 2: MedianValue
MedianValue is the feature column, , it is the predictor of the dataset.
Scenario: The MedianValue and AvgRoomsinHouse columns both hold data in numeric format. You need to select a feature selection algorithm to analyze the relationship between the two columns in more detail.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/filter-based-feature-selection