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Title: Palo Alto Networks PSE-Strata-Pro-24 Review Guide - PSE-Strata-Pro-24 Latest Tes [Print This Page]
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Title: Palo Alto Networks PSE-Strata-Pro-24 Review Guide - PSE-Strata-Pro-24 Latest Tes
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Palo Alto Networks PSE-Strata-Pro-24 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Business Value and Competitive Differentiators: This section of the exam measures the skills of Technical Business Value Analysts and focuses on identifying the value proposition of Palo Alto Networks Next-Generation Firewalls (NGFWs). Candidates will assess the technical business benefits of tools like Panorama and SCM. They will also recognize customer-relevant topics and align them with Palo Alto Networks' best solutions. Additionally, understanding Strata¡¯s unique differentiators is a key component of this domain.
Topic 2
  • Architecture and Planning: This section of the exam measures the skills of Network Architects and emphasizes understanding customer requirements and designing suitable deployment architectures. Candidates must explain Palo Alto Networks' platform networking capabilities in detail and evaluate their suitability for various environments. Handling aspects like system sizing and fine-tuning is also a critical skill assessed in this domain.
Topic 3
  • Deployment and Evaluation: This section of the exam measures the skills of Deployment Engineers and focuses on identifying the capabilities of Palo Alto Networks NGFWs. Candidates will evaluate features that protect against both known and unknown threats. They will also explain identity management from a deployment perspective and describe the proof of value (PoV) process, which includes assessing the effectiveness of NGFW solutions.
Topic 4
  • Network Security Strategy and Best Practices: This section of the exam measures the skills of Security Strategy Specialists and highlights the importance of the Palo Alto Networks five-step Zero Trust methodology. Candidates must understand how to approach and apply the Zero Trust model effectively while emphasizing best practices to ensure robust network security.

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PSE-Strata-Pro-24 Latest Test Answers | PSE-Strata-Pro-24 Exam OutlineThere are Palo Alto Networks Systems Engineer Professional - Hardware Firewall (PSE-Strata-Pro-24) exam questions provided in Palo Alto Networks Systems Engineer Professional - Hardware Firewall (PSE-Strata-Pro-24) PDF questions format which can be viewed on smartphones, laptops, and tablets. So, you can easily study and prepare for your Palo Alto Networks Systems Engineer Professional - Hardware Firewall (PSE-Strata-Pro-24) exam anywhere and anytime. You can also take a printout of these Palo Alto Networks PDF Questions for off-screen study.
Palo Alto Networks Systems Engineer Professional - Hardware Firewall Sample Questions (Q17-Q22):NEW QUESTION # 17
What are three valid Panorama deployment options? (Choose three.)
Answer: A,B,E
Explanation:
Panorama is Palo Alto Networks' centralized management solution for managing multiple firewalls. It supports multiple deployment options to suit different infrastructure needs. The valid deployment options are as follows:
* Why "As a virtual machine (ESXi, Hyper-V, KVM)" (Correct Answer A)?Panorama can be deployed as a virtual machine on hypervisors like VMware ESXi, Microsoft Hyper-V, and KVM. This is a common option for organizations that already utilize virtualized infrastructure.
* Why "With a cloud service provider (AWS, Azure, GCP)" (Correct Answer B)?Panorama is available for deployment in the public cloud on platforms like AWS, Microsoft Azure, and Google Cloud Platform. This allows organizations to centrally manage firewalls deployed in cloud environments.
* Why "As a dedicated hardware appliance (M-100, M-200, M-500, M-600)" (Correct Answer E)?
Panorama is available as a dedicated hardware appliance with different models (M-100, M-200, M-500, M-600) to cater to various performance and scalability requirements. This is ideal for organizations that prefer physical appliances.
* Why not "As a container (Docker, Kubernetes, OpenShift)" (Option C)?Panorama is not currently supported as a containerized deployment. Containers are more commonly used for lightweight and ephemeral services, whereas Panorama requires a robust and persistent deployment model.
* Why not "On a Raspberry Pi (Model 4, Model 400, Model 5)" (Option D)?Panorama cannot be deployed on low-powered hardware like Raspberry Pi. The system requirements for Panorama far exceed the capabilities of Raspberry Pi hardware.
Reference: Palo Alto Networks Panorama Admin Guide outlines the supported deployment options, which include virtual machines, cloud platforms, and hardware appliances.

NEW QUESTION # 18
In addition to DNS Security, which three Cloud-Delivered Security Services (CDSS) subscriptions are minimum recommendations for all NGFWs that handle north-south traffic? (Choose three)
Answer: A,C,E
Explanation:
North-south traffic refers to the flow of data in and out of a network, typically between internal resources and the internet. To secure this type of traffic, Palo Alto Networks recommends specific CDSS subscriptions in addition to DNS Security:
A: SaaS Security
SaaS Security is designed for monitoring and securing SaaS application usage but is not essential for handling typical north-south traffic.
B: Advanced WildFire
Advanced WildFire provides cloud-based malware analysis and sandboxing to detect and block zero-day threats. It is a critical component for securing north-south traffic against advanced malware.
C: Enterprise DLP
Enterprise DLP focuses on data loss prevention, primarily for protecting sensitive data. While important, it is not a minimum recommendation for securing north-south traffic.
D: Advanced Threat Prevention
Advanced Threat Prevention (ATP) replaces traditional IPS and provides inline detection and prevention of evasive threats in north-south traffic. It is a crucial recommendation for protecting against sophisticated threats.
E: Advanced URL Filtering
Advanced URL Filtering prevents access to malicious or harmful URLs. It complements DNS Security to provide comprehensive web protection for north-south traffic.
Key Takeaways:
* Advanced WildFire, Advanced Threat Prevention, and Advanced URL Filtering are minimum recommendations for NGFWs handling north-south traffic, alongside DNS Security.
* SaaS Security and Enterprise DLP, while valuable, are not minimum requirements for this use case.
References:
* Palo Alto Networks NGFW Best Practices
* Cloud-Delivered Security Services

NEW QUESTION # 19
A prospective customer has provided specific requirements for an upcoming firewall purchase, including the need to process a minimum of 200,000 connections per second while maintaining at least 15 Gbps of throughput with App-ID and Threat Prevention enabled.
What should a systems engineer do to determine the most suitable firewall for the customer?
Answer: D
Explanation:
* Firewall Sizing Tool (Answer B):
* Thefirewall sizing toolis the most accurate way to determine the suitable firewall model based on specific customer requirements, such as throughput, connections per second, and enabled features like App-ID and Threat Prevention.
* By inputting traffic patterns, feature requirements, and performance needs, the sizing tool provides tailored recommendations.
* Why Not A:
* While uploading traffic logs to the calculator tool may help analyze traffic trends, it is not the primary method for determining firewall sizing.
* Why Not C or D:
* Theproduct configurator toolandproduct selector toolare not designed for detailed performance analysis based on real-world requirements like connections per second or enabled features.
References from Palo Alto Networks Documentation:
* Firewall Sizing Guide

NEW QUESTION # 20
In addition to Advanced DNS Security, which three Cloud-Delivered Security Services (CDSS) subscriptions utilize inline machine learning (ML)? (Choose three)
Answer: A,B,C
Explanation:
To answer this question, let's analyze each Cloud-Delivered Security Service (CDSS) subscription and its role in inline machine learning (ML). Palo Alto Networks leverages inline ML capabilities across several of its subscriptions to provide real-time protection against advanced threats and reduce the need for manual intervention.
A: Enterprise DLP (Data Loss Prevention)
Enterprise DLP is a Cloud-Delivered Security Service that prevents sensitive data from being exposed. Inline machine learning is utilized to accurately identify and classify sensitive information in real-time, even when traditional data patterns or signatures fail to detect them. This service integrates seamlessly with Palo Alto firewalls to mitigate data exfiltration risks by understanding content as it passes through the firewall.
B: Advanced URL Filtering
Advanced URL Filtering uses inline machine learning to block malicious URLs in real-time. Unlikelegacy URL filtering solutions, which rely on static databases, Palo Alto Networks' Advanced URL Filtering leverages ML to identify and stop new malicious URLs that have not yet been categorized in static databases.
This proactive approach ensures that organizations are protected against emerging threats like phishing and malware-hosting websites.
C: Advanced WildFire
Advanced WildFire is a cloud-based sandboxing solution designed to detect and prevent zero-day malware.
While Advanced WildFire is a critical part of Palo Alto Networks' security offerings, it primarily uses static and dynamic analysis rather than inline machine learning. The ML-based analysis in Advanced WildFire happens after a file is sent to the cloud for processing, rather than inline, so it does not qualify under this question's scope.
D: Advanced Threat Prevention
Advanced Threat Prevention (ATP) uses inline machine learning to analyze traffic in real-time and block sophisticated threats such as unknown command-and-control (C2) traffic. This service replaces the traditional Intrusion Prevention System (IPS) approach by actively analyzing network traffic and blocking malicious payloads inline. The inline ML capabilities ensure ATP can detect and block threats that rely on obfuscation and evasion techniques.
E: IoT Security
IoT Security is focused on discovering and managing IoT devices connected to the network. While this service uses machine learning for device behavior profiling and anomaly detection, it does not leverage inline machine learning for real-time traffic inspection. Instead, it operates at a more general level by providing visibility and identifying device risks.
Key Takeaways:
* Enterprise DLP, Advanced URL Filtering, and Advanced Threat Prevention all rely on inline machine learning to provide real-time protection.
* Advanced WildFire uses ML but not inline; its analysis is performed in the cloud.
* IoT Security applies ML for device management rather than inline threat detection.

NEW QUESTION # 21
When a customer needs to understand how Palo Alto Networks NGFWs lower the risk of exploitation by newly announced vulnerabilities known to be actively attacked, which solution and functionality delivers the most value?
Answer: C
Explanation:
The most effective way to reduce the risk of exploitation bynewly announced vulnerabilitiesis through Advanced 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 leverages deep 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.

NEW QUESTION # 22
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