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Question 105

What is the purpose of the Machine-Learning Prevention Monitoring Report?

It is designed to give an administrator a quick overview of machine-learning aggressiveness settings as well as the numbers of items actually quarantined

It is the dashboard used by an analyst to view all items quarantined and to release any items deemed non-malicious

It is the dashboard used to see machine-learning preventions, and it is used to identify spikes in activity and possible targeted attacks

It is designed to show malware that would have been blocked in your environment based on different Machine-Learning Prevention settings

Correct Answer: D

The purpose of the Machine-Learning Prevention Monitoring Report is to show malware that would have been blocked in your environment based on different Machine-Learning Prevention settings. This report helps in analyzing the effectiveness of various prevention settings like Cautious, Moderate, Aggressive, or Extra Aggressive by viewing what potential threats could have been prevented over a selected timeframe.

Discussion

testmailucOption: D

D is correct. Check through console and documentation.

shemilandiaOption: D

Taken from the console "Use this dashboard to view malware that would have been blocked in your environment over the selected timeframe based on different Machine Learning Prevention settings (Cautious, Moderate, Aggressive or Extra Aggressive)"

andreiushuOption: D

D is the correct answer Machine-Learning Prevention Monitoring dashboard: Use this dashboard to view malware that would have been blocked in your environment over the selected timeframe based on different Machine Learning Prevention settings (Cautious, Moderate, Aggressive or Extra Aggressive).

DarkieCopyOption: D

D is correct. Check in: "Audit logs > Machine-learning prevention monitoring", and right below the title "Machine-Learning Prevention Monitoring", the description: Use this dashboard to view malware that would have been blocked in your environment over the selected timeframe based on different Machine Learning Prevention settings (Cautious, Moderate, Aggressive or Extra Aggressive)

sbag0024Option: D

D is correct, tested in the UI

Roy_SoOption: A

I think the correct answer is A