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NEW QUESTION: 1
In addition to encryption, which techniques represent risk mitigation?
A. Two-factor authentication, privacy assessment
B. Role separation, ISO 27002 assessment
C. PCI compliance, hardened VMs
D. Two-factor authentication, role separation
Answer: D

NEW QUESTION: 2
Sie haben ein Microsoft 365-Abonnement.
Sie planen, Microsoft Azure Information Protection zu aktivieren.
Sie müssen sicherstellen, dass nur die Mitglieder einer Gruppe namens PilotUsers Inhalte schützen können. Was sollten Sie tun?
A. Führen Sie im AAORM PowerShell-Modul das Cmdlet Add-AadrmRoleBasedAdministrator aus.
B. Konfigurieren Sie unter Azure Information Protection den Schutzaktivierungsstatus.
C. Erstellen Sie in Azure Information Protection eine Richtlinie.
D. Führen Sie im AADRM PowerShell-Modul das Cmdlet set-AadrmonboardingControlPolicy aus.
Answer: C
Explanation:
References:
https://blogs.technet.microsoft.com/kemckinn/2018/05/17/creating-labels-for-azure-information-protection/

NEW QUESTION: 3
You are building recurrent neural network to perform a binary classification.
The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted.
Which of the following is correct?
A. The training loss stays constant and the validation loss decreases when training the model.
B. The training loss decreases while the validation loss increases when training the model.
C. The training loss increases while the validation loss decreases when training the model.
D. The training loss .stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.
Answer: B
Explanation:
Explanation
An overfit model is one where performance on the train set is good and continues to improve, whereas performance on the validation set improves to a point and then begins to degrade.
References:
https://machinelearningmastery.com/diagnose-overfitting-underfitting-lstm-models/

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