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NEW QUESTION: 1
Sie verwalten eine Microsoft SQL Server 2012-Instanz, für die mehrere SQL Server-Agent-Jobs konfiguriert sind.
Wenn SQL Server-Agent-Jobs fehlschlagen, enthalten die von den Jobschritten zurückgegebenen Fehlermeldungen nicht die erforderlichen Details.
Die folgende Fehlermeldung ist eine Beispielfehlermeldung:
"Der Job ist fehlgeschlagen. Der Job wurde vom Benutzer CONTOSO \ ServiceAccount aufgerufen. Der letzte auszuführende Schritt war Schritt 1 (Subplan_1)." Sie müssen sicherstellen, dass alle verfügbaren Details der Jobschrittfehler für SQL Server-Agent-Jobs beibehalten werden.
Was tun?
A. Ausgabedateien konfigurieren.
B. Erweitern Sie die Agentenprotokollierung, um Informationen von allen Ereignissen einzuschließen.
C. Konfigurieren Sie die Ereignisweiterleitung.
D. Deaktivieren Sie die Funktion "Größe des Auftragsverlaufsprotokolls begrenzen".
Answer: B
NEW QUESTION: 2
ホットスポットの質問
S-AMERロケーションへの静的マップが必要です。
このマップを作成するには、どのコマンドを使用する必要がありますか?
A. frame-relay map ip 172.30.0.3 387 broadcast
B. frame-relay map ip 172.30.0.3 694 broadcast
C. frame-relay map ip 172.30.0.3 230 broadcast
D. frame-relay map ip 172.30.0.3 825 broadcast
Answer: C
Explanation:
frame-relay map ip 172.30.0.3 230 broadcast 172.30.0.3はS-AMERルーターのIPアドレスであり、230 dlci値で構成します。ダイアグラムの「show frame-relay map」出力を確認します。
NEW QUESTION: 3
x.1、x2、およびx3の機能に対してscikit-learn Pythonライブラリを使用して、機能のスケーリングを実行しています。
元のデータとスケーリングされたデータを次の図に示します。
ドロップダウンメニューを使用して、グラフィックに表示される情報に基づいて各質問に回答する回答選択肢を選択します。
注:それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: StandardScaler
The StandardScaler assumes your data is normally distributed within each feature and will scale them such that the distribution is now centred around 0, with a standard deviation of 1.
Example:
All features are now on the same scale relative to one another.
Box 2: Min Max Scaler
Notice that the skewness of the distribution is maintained but the 3 distributions are brought into the same scale so that they overlap.
Box 3: Normalizer
References:
http://benalexkeen.com/feature-scaling-with-scikit-learn/