PALO ALTO NETWORKS PSE-STRATA-PRO-24 TEST QUESTIONS ANSWERS - LATEST PSE-STRATA-PRO-24 EXAM REVIEW

Palo Alto Networks PSE-Strata-Pro-24 Test Questions Answers - Latest PSE-Strata-Pro-24 Exam Review

Palo Alto Networks PSE-Strata-Pro-24 Test Questions Answers - Latest PSE-Strata-Pro-24 Exam Review

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>> Palo Alto Networks PSE-Strata-Pro-24 Test Questions Answers <<

Latest Palo Alto Networks PSE-Strata-Pro-24 Exam Review - Authorized PSE-Strata-Pro-24 Test Dumps

These PSE-Strata-Pro-24 PDF Questions are being presented in practice test software and PDF dumps file formats. The Palo Alto Networks PSE-Strata-Pro-24 desktop practice test software is easy to use and install on your desktop computers. Whereas the other PSE-Strata-Pro-24 web-based practice test software is concerned, this is a simple browser-based application that works with all operating systems. Both practice tests are customizable, simulate actual exam scenarios, and help you overcome mistakes.

Palo Alto Networks Systems Engineer Professional - Hardware Firewall Sample Questions (Q35-Q40):

NEW QUESTION # 35
What is used to stop a DNS-based threat?

  • A. DNS proxy
  • B. Buffer overflow protection
  • C. DNS sinkholing
  • D. DNS tunneling

Answer: C

Explanation:
DNS-based threats, such as DNS tunneling, phishing, or malware command-and-control (C2) activities, are commonly used by attackers to exfiltrate data or establish malicious communications. Palo Alto Networks firewalls provide several mechanisms to address these threats, and the correct method isDNS sinkholing.
* Why "DNS sinkholing" (Correct Answer D)?DNS sinkholing redirects DNS queries for malicious domains to an internal or non-routable IP address, effectively preventing communication with malicious domains. When a user or endpoint tries to connect to a malicious domain, the sinkhole DNS entry ensures the traffic is blocked or routed to a controlled destination.
* DNS sinkholing is especially effective for blocking malware trying to contact its C2 server or preventing data exfiltration.
* Why not "DNS proxy" (Option A)?A DNS proxy is used to forward DNS queries from endpoints to an upstream DNS server. While it can be part of a network's DNS setup, it does not actively stop DNS- based threats.
* Why not "Buffer overflow protection" (Option B)?Buffer overflow protection is a method used to prevent memory-related attacks, such as exploiting software vulnerabilities. It is unrelated to DNS- based threat prevention.
* Why not "DNS tunneling" (Option C)?DNS tunneling is itself a type of DNS-based threat where attackers encode malicious traffic within DNS queries and responses. This option refers to the threat itself, not the method to stop it.


NEW QUESTION # 36
With Strata Cloud Manager (SCM) or Panorama, customers can monitor and manage which three solutions?
(Choose three.)

  • A. Prisma Cloud
  • B. Cortex XSIAM
  • C. Prisma SD-WAN
  • D. NGFW
  • E. Prisma Access

Answer: C,D,E

Explanation:
* Prisma Access (Answer A):
* Strata Cloud Manager (SCM) and Panorama provide centralized visibility and management for Prisma Access, Palo Alto Networks' cloud-delivered security platform for remote users and branch offices.
* NGFW (Answer D):
* Both SCM and Panorama are used to manage and monitorPalo Alto Networks Next-Generation Firewalls(NGFWs) deployed in on-premise, hybrid, or multi-cloud environments.
* Prisma SD-WAN (Answer E):
* SCM and Panorama integrate withPrisma SD-WANto manage branch connectivity and security, ensuring seamless operation in an SD-WAN environment.
* Why Not B:
* Prisma Cloudis a distinct platform designed for cloud-native security and is not directly managed through Strata Cloud Manager or Panorama.
* Why Not C:
* Cortex XSIAM(Extended Security Intelligence and Automation Management) is part of the Cortex platform and is not managed by SCM or Panorama.
References from Palo Alto Networks Documentation:
* Strata Cloud Manager Overview
* Panorama Features and Benefits


NEW QUESTION # 37
Which technique is an example of a DNS attack that Advanced DNS Security can detect and prevent?

  • A. DNS domain rebranding
  • B. CNAME cloaking
  • C. High entropy DNS domains
  • D. Polymorphic DNS

Answer: C

Explanation:
Advanced DNS Security on Palo Alto Networks firewalls is designed to identify and prevent a wide range of DNS-based attacks. Among the listed options, "High entropy DNS domains" is a specific example of a DNS attack that Advanced DNS Security can detect and block.
* Why "High entropy DNS domains" (Correct Answer A)?High entropy DNS domains are often used in attacks where randomly generated domain names (e.g., gfh34ksdu.com) are utilized by malware or bots to evade detection. This is a hallmark of Domain Generation Algorithms (DGA)-based attacks.
Palo Alto Networks firewalls with Advanced DNS Security use machine learning to detect such domains by analyzing the entropy (randomness) of DNS queries. High entropy values indicate the likelihood of a dynamically generated or malicious domain.
* Why not "Polymorphic DNS" (Option B)?While polymorphic DNS refers to techniques that dynamically change DNS records to avoid detection, it is not specifically identified as an attack type mitigated by Advanced DNS Security in Palo Alto Networks documentation. The firewall focuses more on the behavior of DNS queries, such as detecting DGA domains or anomalous DNS traffic patterns.
* Why not "CNAME cloaking" (Option C)?CNAME cloaking involves using CNAME records to redirect DNS queries to malicious or hidden domains. Although Palo Alto firewalls may detect and block malicious DNS redirections, the focus of Advanced DNS Security is primarily on identifying patterns of DNS abuse like DGA domains, tunneling, or high entropy queries.
* Why not "DNS domain rebranding" (Option D)?DNS domain rebranding involves changing the domain names associated with malicious activity to evade detection. This is typically a tactic used for persistence but is not an example of a DNS attack type specifically addressed by Advanced DNS Security.
Advanced DNS Security focuses on dynamic, real-time identification of suspicious DNS patterns, such as high entropy domains, DNS tunneling, or protocol violations. High entropy DNS domains are directly tied to attack mechanisms like DGAs, making this the correct answer.


NEW QUESTION # 38
In addition to Advanced DNS Security, which three Cloud-Delivered Security Services (CDSS) subscriptions utilize inline machine learning (ML)? (Choose three)

  • A. Advanced WildFire
  • B. Enterprise DLP
  • C. Advanced URL Filtering
  • D. Advanced Threat Prevention
  • E. IoT Security

Answer: B,C,D

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 # 39
A security engineer has been tasked with protecting a company's on-premises web servers but is not authorized to purchase a web application firewall (WAF).
Which Palo Alto Networks solution will protect the company from SQL injection zero-day, command injection zero-day, Cross-Site Scripting (XSS) attacks, and IIS exploits?

  • A. Advanced Threat Prevention and PAN-OS 11.x
  • B. Threat Prevention and PAN-OS 11.x
  • C. Advanced WildFire and PAN-OS 10.0 (and higher)
  • D. Threat Prevention, Advanced URL Filtering, and PAN-OS 10.2 (and higher)

Answer: A

Explanation:
Protecting web servers from advanced threats like SQL injection, command injection, XSS attacks, and IIS exploits requires a solution capable of deep packet inspection, behavioral analysis, and inline prevention of zero-day attacks. The most effective solution here isAdvanced Threat Prevention (ATP)combined with PAN-OS 11.x.
* Why "Advanced Threat Prevention and PAN-OS 11.x" (Correct Answer B)?Advanced Threat Prevention (ATP) enhances traditional threat prevention by usinginline deep learning modelsto detect and block advanced zero-day threats, includingSQL injection, command injection, and XSS attacks.
With PAN-OS 11.x, ATP extends its detection capabilities to detect unknown exploits without relying on signature-based methods. This functionality is critical for protecting web servers in scenarios where a dedicated WAF is unavailable.
ATP provides the following benefits:
* Inline prevention of zero-day threats using deep learning models.
* Real-time detection of attacks like SQL injection and XSS.
* Enhanced protection for web server platforms like IIS.
* Full integration with the Palo Alto Networks Next-Generation Firewall (NGFW).
* Why not "Threat Prevention and PAN-OS 11.x" (Option A)?Threat Prevention relies primarily on signature-based detection for known threats. While it provides basic protection, it lacks the capability to block zero-day attacks using advanced methods like inline deep learning. For zero-day SQL injection and XSS attacks, Threat Prevention alone is insufficient.
* Why not "Threat Prevention, Advanced URL Filtering, and PAN-OS 10.2 (and higher)" (Option C)?While this combination includes Advanced URL Filtering (useful for blocking malicious URLs associated with exploits), it still relies onThreat Prevention, which is signature-based. This combination does not provide the zero-day protection needed for advanced injection attacks or XSS vulnerabilities.
* Why not "Advanced WildFire and PAN-OS 10.0 (and higher)" (Option D)?Advanced WildFire is focused on analyzing files and executables in a sandbox environment to identify malware. While it is excellent for identifying malware, it is not designed to provide inline prevention for web-based injection attacks or XSS exploits targeting web servers.


NEW QUESTION # 40
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