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Palo Alto Networks Exam PSE-Strata Topic 1 Question 75 Discussion

Actual exam question for Palo Alto Networks's Palo Alto Networks System Engineer - Strata exam
Question #: 75
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?

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Suggested Answer: B

Contribute your Thoughts:

Tijuana
24 days ago
Hmm, I was stuck between B and D. Improved CPU performance for content inspection does sound nice, but I think the business impact of blocking malware in real-time wins out. Nice to know the firewall can handle the load though!
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Michal
25 days ago
You know, I was leaning towards option C at first, thinking the local ML would be more accurate. But you both make a good point - real-time protection is probably more important than absolute accuracy in this case.
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Ocie
26 days ago
I agree, option B seems to be the most comprehensive answer. Inline ML on the firewall means we don't have to send files to the cloud for analysis, which can introduce delays. This way, the firewall can act on threats instantly.
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Silvana
10 days ago
I agree, option B seems to be the most comprehensive answer. Inline ML on the firewall means we don't have to send files to the cloud for analysis, which can introduce delays. This way, the firewall can act on threats instantly.
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Fausto
11 days ago
C) It is always able to give more accurate verdicts than the cloud ML analysis reducing false positives and false negatives
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Tammi
12 days ago
B) It enables the firewall to block unknown malicious files in real time and prevent patient zero without disrupting business productivity
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Laura
27 days ago
This question is definitely testing our understanding of WildFire's capabilities. I think the key advantage here is the real-time blocking of malicious files without disrupting productivity, which is what option B is talking about.
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