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!
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.
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.
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.
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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