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NEW QUESTION: 1
A. Option B
B. Option A
C. Option D
D. Option C
Answer: C
NEW QUESTION: 2
You create a binary classification model to predict whether a person has a disease.
You need to detect possible classification errors.
Which error type should you choose for each description? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: True Positive
A true positive is an outcome where the model correctly predicts the positive class Box 2: True Negative A true negative is an outcome where the model correctly predicts the negative class.
Box 3: False Positive
A false positive is an outcome where the model incorrectly predicts the positive class.
Box 4: False Negative
A false negative is an outcome where the model incorrectly predicts the negative class.
Note: Let's make the following definitions:
"Wolf" is a positive class.
"No wolf" is a negative class.
We can summarize our "wolf-prediction" model using a 2x2 confusion matrix that depicts all four possible outcomes:
Reference:
https://developers.google.com/machine-learning/crash-course/classification/true-false-positive-negative
NEW QUESTION: 3
A security analyst positively identified the threat, vulnerability, and remediation. The analyst is ready to implement the corrective control. Which of the following would be the MOST inhibiting to applying the fix?
A. Full desktop backups.
B. Resetting all administrator passwords.
C. Business process interruption.
D. Requiring a firewall reboot.
Answer: A
NEW QUESTION: 4
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine eindeutige Lösung, mit der die angegebenen Ziele erreicht werden können. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Sie sind der Systemadministrator einer Vertriebsgesellschaft. Sie verwalten die Microsoft Office 365-Umgebung für Ihr Unternehmen. Sie untersuchen die Anforderungen für Microsoft Office 365 Data Loss Prevention (DLP).
Alle Benutzer haben eine Enterprise E5-Lizenz.
Sie müssen sicherstellen, dass alle Benutzer keine Sozialversicherungsnummern in Office 365 speichern können.
Sie müssen eine DLP-Richtlinie implementieren, die die Anforderungen erfüllt.
Lösung: Erstellen Sie eine DLP-Richtlinie mit Microsoft SharePoint Online-Websites als Speicherort für Inhaltsquellen.
Entspricht die Lösung dem Ziel?
A. Ja
B. Nein
Answer: B