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NEW QUESTION: 1
Which action should a DLP administrator take to secure communications between an on-premises Enforce server and detection servers hosted in the Cloud?
A. Use the "sslkeytool" utility to create certificates for the Enforce server and the hosted detection servers.
B. Set up a Virtual Private Network (VPN) for the Enforce server and the hosted detection servers.
C. Use the built-in Symantec DLP certificate for both the Enforce server and the hosted detection servers.
D. Use the built-in Symantec DLP certificate for the Enforce Server, and use the "sslkeytool" utility to create certificates for the detection servers.
Answer: D

NEW QUESTION: 2
Sie haben ein Microsoft 365-Abonnement.
Sie haben eine Gruppe mit dem Namen Support. Benutzer in der Support-Gruppe senden häufig E-Mail-Nachrichten an externe Benutzer.
Der Manager der Support-Gruppe möchte Nachrichten mit Anhängen nach dem Zufallsprinzip überprüfen.
Sie müssen dem Manager die Möglichkeit geben, Nachrichten zu überprüfen, die Anhänge enthalten, die von Benutzern der Supportgruppe an externe Benutzer gesendet wurden. Der Manager darf nur auf 10 Prozent der Nachrichten zugreifen können.
Was tun? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Auswahl ist einen Punkt wert.

Answer:
Explanation:

Explanation

References:
https://docs.microsoft.com/en-us/office365/securitycompliance/supervision-policies

NEW QUESTION: 3

A. /etc/tcpwrapper.allow and /etc/tcpwrapper.deny
B. /etc/hosts.allow and /etc/hosts.deny
C. /etc/tcpd.allow and etc/tcpd.deny
D. /etc/service.allow and /etc/service.deny
Answer: B

NEW QUESTION: 4
分類タスクを解決しています。
k分割交差検証を使用して、限られたデータサンプルでモデルを評価する必要があります。 kパラメーターを分割数として構成することから始めます。
交差検定のkパラメーターを構成する必要があります。
どの値を使用する必要がありますか？
A. k=0.5
B. k=0
C. k=5
D. k=1
Answer: C
Explanation:
Leave One Out (LOO) cross-validation
Setting K = n (the number of observations) yields n-fold and is called leave-one out cross-validation (LOO), a special case of the K-fold approach.
LOO CV is sometimes useful but typically doesn't shake up the data enough. The estimates from each fold are highly correlated and hence their average can have high variance.
This is why the usual choice is K=5 or 10. It provides a good compromise for the bias-variance tradeoff.