When protecting against attempts to exploit client-side and server-side vulnerabilities, what is the Palo Alto Networks best practice when using NGFW Vulnerability Protection Profiles?
I’m leaning towards cloning the Strict Profile with packet capture enabled, but I’m not entirely confident if that’s the right choice for both clients and servers.
I think we practiced a question similar to this, and I recall that protecting servers is often prioritized, but I can't remember if that's the default profile or not.
I remember discussing the importance of customizing profiles instead of just using defaults, but I'm not sure if cloning the Strict Profile is the best approach.
Okay, let's see. Risk identification and assessment workshops are used to, well, identify and assess risks, right? So I'm thinking Option B is the right answer here - they're used to identify threats as part of project initiation.
Okay, let's think this through step-by-step. For the priority and resolution time prediction, the AI Platform seems like the right choice since it's a general-purpose ML service. And for sentiment analysis, the Cloud Natural Language API looks like the most appropriate option.
Okay, let me see here. H-VPLS solves the data-plane and control-plane issues, so the concern it doesn't solve must be one of the other options. I'm leaning towards E - increased bandwidth and replication.
I'm not too familiar with Kerberos, so this one has me a bit stumped. I'd probably need to review my notes on authentication protocols before I could confidently answer this. But my initial guess would be option D, LDAP, since it's commonly used for authentication.
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