Exam PCNSA topic 1 question 343 discussion

reference: https://docs.paloaltonetworks.com/pan-os/10-1/pan-os-admin/url-filtering/url-filtering-inline-ml

URL Filtering local inline categorization (previously known as inline ML) enables the firewall dataplane to apply machine learning on webpages to alert users when phishing variants are detected while preventing malicious variants of JavaScript exploits from entering your network. Local inline categorization dynamically analyzes and detects malicious content by evaluating various web page details using a series of ML models.

Local inline categorization dynamically analyzes and detects malicious content by evaluating various web page details using a series of ML models.

I got it wrong (C), but the answer is B due to the URL Filtering profile using inline categorization to analyze web traffic. Aka: " Enable local inline categorization—Enables real-time analysis of URL traffic using firewall-based, machine learning models, to detect and prevent malicious phishing variants and JavaScript exploits from entering your network." The AV and AS sec profiles also use machine learning but the AV sec profile uses the wildfire inline machine learning to search for powershell scripts, malicious executables, etc while the AS machine learning searches for C2C traffic.