Palo Alto Networks PSE-Strata Exam - Topic 6 Question 105 Discussion

Actual exam question for Palo Alto Networks's PSE-Strata exam

Question #: 105
Topic #: 6

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 Dallas at Mar 05, 2025, 04:31 PM

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Davida

2 months ago

Wait, it can block threats without disrupting productivity? That's impressive!

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Cassie

3 months ago

I agree, but can it really reduce false positives better than the cloud?

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Annabelle

3 months ago

Eliminates the need for cloud dynamic analysis, that's a big plus!

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Antonio

3 months ago

Really? I thought cloud analysis was more reliable.

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Charlette

3 months ago

It enables real-time blocking of unknown threats!

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Elizabeth

4 months ago

I thought option D was about performance, but I’m not convinced it directly relates to the advantages of ML on the firewall.

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Stevie

4 months ago

I feel like we practiced a similar question, and I recall that inline capabilities can enhance response times, but I can't remember if they always outperform cloud analysis.

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Deandrea

4 months ago

I think option B sounds right because blocking unknown files in real time is a huge advantage, especially for preventing initial infections.

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Salome

4 months ago

I remember discussing how inline ML can help with real-time threat detection, but I'm not sure if it completely eliminates the need for cloud analysis.

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Tequila

4 months ago

The CPU performance improvement in option D could also be a useful advantage to consider. I'll make sure to weigh all the options carefully.

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Katlyn

5 months ago

I'm not sure if the inline ML is always more accurate than cloud analysis. I'll have to think through the tradeoffs there.

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Alberto

5 months ago

Option B sounds like the most relevant advantage to me. Blocking unknown malware in real-time without disrupting productivity is a big plus.

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Paris

5 months ago

Hmm, I'm a bit confused about the difference between inline and cloud-based ML analysis. I'll need to review that before answering.

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Dalene

5 months ago

This question seems straightforward. I think the key is understanding the advantages of having WildFire ML capability inline on the firewall.

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Domonique

11 months ago

D seems a bit underwhelming. I want my firewall to do more than just improve CPU performance. Give me that real-time threat protection!

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Ronnie

11 months ago

I'm just hoping this WildFire thing doesn't make my firewall start barking orders at me. 'Block that file, human! NOW!'

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Janine

10 months 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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Polly

10 months 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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Sheron

11 months ago

A) It eliminates the necessity for dynamic analysis in the cloud

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Nickolas

11 months ago

C is interesting, but I'm not sure I trust a firewall to be more accurate than the cloud. Isn't that where all the big data and AI magic happens?

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Janey

11 months ago

I agree, B is the way to go. Who needs the cloud when you can get the analysis done locally? That's a game-changer for sure.

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Paris

11 months ago

Option B sounds like the best choice here. Having that real-time malware detection capability right on the firewall is crucial for blocking threats before they can cause any damage.

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