PSE-Strata Exam Dumps - Palo Alto Networks System Engineer Professional - Strata

When access to a business site is blocked by URL Filtering inline machine learning (ML) and it is identified as a false positive, the appropriate way to resolve this is to create a custom URL category and add the site to the exceptions list of the inline ML profile. This ensures that the specific URL is no longer subjected to the filtering rules applied by the inline ML, thereby allowing access to the site.

Creating a custom URL category and adding it to the exceptions of the inline ML profile ensures that the legitimate business site is accessible without completely disabling the URL Filtering inline ML feature, which would reduce overall security effectiveness.

References:

Palo Alto Networks, URL Filtering Administration Guide.

When sizing the Cortex Data Lake for Prisma Access mobile users, the valid log size range per day per user is typically between 1MB to 5MB. This estimation accounts for the logs generated from various user activities, including web browsing, application usage, and security events. Properly sizing the log storage is essential for ensuring adequate space and optimal performance of the Cortex Data Lake.

References:

Palo Alto Networks Cortex Data Lake Sizing Guide

Palo Alto Networks Prisma Access Documentation

 

Palo Alto Networks NGFW provides several mechanisms for user mapping, which helps in identifying and applying policies based on user identity rather than just IP addresses.

Captive Portal: This method redirects users to a portal where they must authenticate before accessing the network. It captures user credentials and maps them to their IP addresses.

Domain server monitoring: This involves monitoring Active Directory (AD) domain controllers to map users to their respective IP addresses based on login events.

Client probing: This mechanism involves directly querying devices on the network to determine the logged-in user. It's useful for mapping IP addresses to usernames dynamically.

When beginning to understand the Zero Trust protect surface using the Palo Alto Networks Zero Trust reference architecture, the following two steps are crucial:

Validate User Identities through Authentication (A): This step involves ensuring that all users are authenticated properly. By verifying the identities of users attempting to access the network, organizations can ensure that only authorized users can access sensitive resources. This is a fundamental principle of Zero Trust, which operates on the premise of "never trust, always verify."

Categorize Data and Applications by Levels of Sensitivity (C): This involves identifying and classifying data and applications based on their sensitivity and importance to the organization. By understanding what needs to be protected and the level of sensitivity, security policies can be tailored to provide appropriate levels of protection. This helps in prioritizing security measures based on the criticality of the data and applications.

References:

Palo Alto Networks, Zero Trust Architecture Documentation.

NIST Zero Trust Architecture (NIST SP 800-207).

To address threats based on domain generation algorithms (DGAs), the Anti-Spyware profile is used to configure Domain Name Security (DNS) on Palo Alto Networks firewalls. DGAs are algorithms used by malware to generate a large number of domain names for command-and-control servers, making it difficult to block them through traditional means. The Anti-Spyware profile includes features to detect and block connections to these dynamically generated domains in real-time, providing robust protection against this sophisticated attack vector.

For a price-sensitive customer needing to secure a Windows Virtual Server with a maximum throughput of 100Mbps and requiring up to 45,000 sessions, the VM-200 instance is the appropriate choice. The VM-200 is designed to handle up to 100Mbps of throughput and supports a sufficient number of sessions to meet the customer's requirements, making it a cost-effective and suitable option for this use case​ (Palo Alto Networks)​​ (Palo Alto Networks)​.

The Palo Alto Networks Security Operating Platform is designed to prevent various stages of the cyberattack lifecycle. Specifically, it effectively prevents the following four stages:

Breach the Perimeter: By using advanced threat prevention mechanisms, the platform can stop initial attempts to penetrate the network perimeter.

Lateral Movement: Once inside the network, attackers often try to move laterally to access more systems. The platform uses network segmentation and advanced monitoring to detect and prevent such movements.

Exfiltrate Data: Data exfiltration is the process of unauthorized data transfer out of the network. The platform employs data loss prevention (DLP) technologies to detect and block such attempts.

Deliver the Malware: The platform can prevent malware delivery through its threat prevention capabilities, including anti-malware, anti-spyware, and sandboxing technologies.

These steps cover critical phases where the platform can intervene to stop attacks before they cause significant damage.

Dynamic User Groups (DUGs) is a built-in feature of PAN-OS that allows NGFW administrators to create policies that provide auto-remediation for anomalous user behavior and malicious activity while maintaining user visibility. DUGs dynamically update group membership based on user attributes and behavior, enabling real-time policy enforcement and automatic response to security incidents.