Palo Alto Networks Exam PSE-Strata Topic 1 Question 79 Discussion

Actual exam question for Palo Alto Networks's Palo Alto Networks System Engineer - Strata exam

Question #: 79
Topic #: 1

[All Palo Alto Networks System Engineer - Strata Questions]

What is an advantage of having WildFire machine learning (ML) capability Inline on the firewall?

AIt eliminates of the necessity for dynamic analysis in the cloud

BIt enables the firewall to block unknown malicious files in real time and prevent patient zero without disrupting business productivity

CIt is always able to give more accurate verdicts than the cloud ML analysis reducing false positives and false negatives

DIt improves the CPU performance of content inspection

Show Suggested Answer

Suggested Answer: B

by Jenelle at Mar 08, 2024, 01:06 PM

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Alonso

11 days ago

You know, I'm kind of torn on this one. On the one hand, the real-time blocking sounds great. But on the other, I'm not sure I trust the firewall's ML to be more accurate than the cloud. Seems a bit like putting all your eggs in one basket, you know?

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Argelia

12 days ago

Hmm, I'm not convinced. Eliminating the need for dynamic analysis in the cloud? That seems a bit risky to me. What if the firewall's ML isn't as up-to-date as the cloud's? I'd hate to get a false sense of security and have something slip through the cracks.

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Veronika

13 days ago

I'm all for it! Accuracy is key, and if the inline ML can give more accurate verdicts than the cloud, that's a huge plus. Fewer false positives and false negatives? Sign me up! Although, I do wonder if it'll put a strain on the poor firewall's CPU...

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Steffanie

14 days ago

Having WildFire ML capability inline on the firewall is a game-changer! It means the firewall can block those nasty unknown malicious files in real-time, without disrupting our business productivity. No more waiting for the cloud to analyze stuff - this is like having your own personal AI bodyguard.

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