Paloalto Networks PSE-Strata-Pro-24 Exam Dumps - Actual Questions Answers

When high traffic from Palo Alto Networks NGFWs to Active Directory servers causes performance issues, optimizing the way NGFWs gather user-to-IP mappings is critical. Palo Alto Networks offers multiple ways to collect user identity information, andCloud Identity Engineprovides a solution that reduces the load on AD servers while still ensuring efficient and accurate mapping.

Option A (Correct):Cloud Identity Engineallows NGFWs to gather user-to-IP mappings directly from Active Directory authentication logs or other identity sources without placing heavy traffic on the AD servers. By leveraging this feature, the NGFW can offload authentication-related tasks and efficiently identify users without overloading AD servers. This solution is scalable and minimizes the overhead typically caused by frequent User-ID queries to AD servers.

Option B:UsingGlobalProtect Windows SSOto gather user information can add complexity and is not the most efficient solution for this problem. It requires all users to install GlobalProtect agents, which may not be feasible in all environments and can introduce operational challenges.

Option C:Data redistributioninvolves redistributing user-to-IP mappings from one NGFW (hub) to other NGFWs (spokes). While this can reduce the number of queries sent to AD servers, it assumes the mappings are already being collected from AD servers by the hub, which means the performance issue on the AD servers would persist.

Option D:UsingGlobalProtect agentsto gather user information is a valid method for environments where GlobalProtect is already deployed, but it is not the most efficient or straightforward solution for the given problem. It also introduces dependencies on agent deployment, configuration, and management.

How to Implement Cloud Identity Engine for User-ID Mapping:

EnableCloud Identity Enginefrom the Palo Alto Networks console.

Integrate the Cloud Identity Engine with the AD servers to allow it to retrieve authentication logs directly.

Configure the NGFWs to use the Cloud Identity Engine for User-ID mappings instead of querying the AD servers directly.

Monitor performance to ensure the AD servers are no longer overloaded, and mappings are being retrieved efficiently.

References:

Cloud Identity Engine Overview: https://docs.paloaltonetworks.com/cloud-identity

User-ID Best Practices: https://docs.paloaltonetworks.com

The most effective way to reduce the risk of exploitation bynewly announced vulnerabilitiesis throughAdvanced Threat Prevention (ATP). ATP usesinline deep learningto identify and block exploitation attempts, even for zero-day vulnerabilities, in real time.

Why "Advanced Threat Prevention’s command injection and SQL injection functions use inline deep learning against zero-day threats" (Correct Answer B)?Advanced Threat Prevention leveragesdeep learning modelsdirectly in the data path, which allows it to analyze traffic in real time and detect patterns of exploitation, including newly discovered vulnerabilities being actively exploited in the wild. It specifically targets advanced tactics like:

Command injection.

SQL injection.

Memory-based exploits.

Protocol evasion techniques.

This functionality lowers the risk of exploitation byactively blocking attack attemptsbased on their behavior, even when a signature is not yet available. This approach makes ATP the most valuable solution for addressing new and actively exploited vulnerabilities.

Why not "Advanced URL Filtering uses machine learning (ML) to learn which malicious URLs are being utilized by the attackers, then block the resulting traffic" (Option A)?While Advanced URL Filtering is highly effective at blocking access to malicious websites, it does not provide the inline analysis necessary to prevent direct exploitation of vulnerabilities. Exploitation often happens within the application or protocol layer, which Advanced URL Filtering does not inspect.

Why not "Single Pass Architecture and parallel processing ensure traffic is efficiently scanned against any enabled Cloud-Delivered Security Services (CDSS) subscription" (Option C)?Single Pass Architecture improves performance by ensuring all enabled services (like Threat Prevention, URL Filtering, etc.) process traffic efficiently. However, it is not a feature that directly addresses vulnerability exploitation or zero-day attack detection.

Why not "WildFire loads custom OS images to ensure that the sandboxing catches anyactivity that would affect the customer's environment" (Option D)?WildFire is a sandboxing solution designed to detect malicious files and executables. While it is useful for analyzing malware, it does not provide inline protection against exploitation of newly announced vulnerabilities, especially those targeting network protocols or applications.

A large deployment of 500 firewalls requires a scalable, centralized logging and reporting infrastructure. Here's the analysis of each option:

Option A: Combine Panorama for firewall management with Palo Alto Networks' cloud-based Strata Logging Service to offer scalability for the company's logging and reporting infrastructure

TheStrata Logging Service(or Cortex Data Lake) is a cloud-based solution that offers massive scalability for logging and reporting. Combined with Panorama, it allows for centralized log collection, analysis, and policy management without the need for extensive on-premises infrastructure.

This approach is ideal for large-scale environments like the one described in the scenario, as it ensures cost-effectiveness and scalability.

This is the correct recommendation.

Option B: Use Panorama for firewall management and to transfer logs from the 500 firewalls directly to a third-party SIEM for centralized logging and reporting

While third-party SIEM solutions can be integrated with Palo Alto Networks NGFWs, directly transferring logs from 500 firewalls to a SIEM can lead to bottlenecks and scalability issues. Furthermore, relying on third-party solutions may not provide the same level of native integration as the Strata Logging Service.

This is not the ideal recommendation.

Option C: Highlight the efficiency of PAN-OS, which employs AI to automatically extract critical logs and generate daily executive reports, and confirm that the purchase of 500 NGFWs is sufficient

While PAN-OS provides AI-driven insights and reporting, this option does not address the requirement for centralized logging and reporting. It also dismisses the need for additional infrastructure to handle logs from 500 firewalls.

This is incorrect.

Option D: Deploy a pair of M-1000 log collectors in the customer data center, and route logs from all 500 firewalls to the log collectors for centralized logging and reporting

The M-1000 appliance is an on-premises log collector, but it has limitations in terms of scalability and storage capacity when compared to cloud-based options like the Strata Logging Service. Deploying only two M-1000 log collectors for 500 firewalls would result in potential performance and storage challenges.

This is not the best recommendation.

References:

Palo Alto Networks documentation on Panorama

Strata Logging Service (Cortex Data Lake) overview in Palo Alto Networks Docs