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Palo-Alto-Networks PSE-Strata-Pro-24 Exam Questions

Palo-Alto-Networks PSE-Strata-Pro-24 Exam Questions Answers

Palo Alto Networks Systems Engineer Professional - Hardware Firewall

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Palo-Alto-Networks PSE-Strata-Pro-24 Sample Questions – Free Practice Test & Real Exam Prep

Question #1

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

  • A. Enterprise DLP
  • B. Advanced URL Filtering
  • C. Advanced WildFire
  • D. Advanced Threat Prevention
  • E. IoT Security
Answer: A, B, D
Explanation:
To answer this question, lets 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 realtime,
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. Unlike
legacy 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 questions 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.
Reference:
Palo Alto Networks Documentation: Cloud-Delivered Security Services Overview
Palo Alto Networks Technical Specifications for CDSS Subscriptions
Best Practices for Implementing Inline Machine Learning Features

Question #2

A prospective customer is interested in Palo Alto Networks NGFWs and wants to evaluate the ability to segregate its internal network into unique BGP environments. Which statement describes the ability of NGFWs to address this need? 

  • A. It cannot be addressed because PAN-OS does not support it.
  • B. It can be addressed by creating multiple eBGP autonomous systems.
  • C. It can be addressed with BGP confederations.
  • D. It cannot be addressed because BGP must be fully meshed internally to work.
Answer: B
Explanation:
Segregating a network into unique BGP environments requires the ability to configure separate eBGP
autonomous systems (AS) within the NGFW. Palo Alto Networks firewalls support advanced BGP
features, including the ability to create and manage multiple autonomous systems.
Why "It can be addressed by creating multiple eBGP autonomous systems" (Correct Answer B)?
PAN-OS supports the configuration of multiple eBGP AS environments. By creating unique eBGP AS
numbers for different parts of the network, traffic can be segregated and routed separately. This
feature is commonly used in multi-tenant environments or networks requiring logical separation for
administrative or policy reasons.
Each eBGP AS can maintain its own routing policies, neighbors, and traffic segmentation.
This approach allows the NGFW to address the customers need for segregated internal BGP
environments.
Why not "It cannot be addressed because PAN-OS does not support it" (Option A)?
This statement is incorrect because PAN-OS fully supports BGP, including eBGP, iBGP, and features
like route reflectors, confederations, and autonomous systems.
Why not "It can be addressed with BGP confederations" (Option C)?
While BGP confederations can logically group AS numbers within a single AS, they are generally used
to simplify iBGP designs in very large-scale networks. They are not commonly used for segregating
internal environments and are not required for the described use case.
Why not "It cannot be addressed because BGP must be fully meshed internally to work" (Option D)?
Full mesh iBGP is only required in environments without route reflectors. The described scenario
does not mention the need for iBGP full mesh; instead, it focuses on segregated environments, which
can be achieved with eBGP.
Reference: Palo Alto Networks documentation for BGP on PAN-OS confirms the support for multiple
eBGP AS configurations for advanced routing use cases.

Question #3

What are two methods that a NGFW uses to determine if submitted credentials are valid corporate credentials? (Choose two.) 

  • A. Group mapping 
  • B. LDAP query 
  • C. Domain credential filter 
  • D. WMI client probing 
Answer: B, C

Explanation:
LDAP Query (Answer B):
Palo Alto Networks NGFWs can query LDAP directories (such as Active Directory) to validate whether
submitted credentials match the corporate directory.
Domain Credential Filter (Answer C):
The Domain Credential Filter feature ensures that submitted credentials are checked against valid
corporate credentials, preventing credential misuse.
Why Not A:
Group mapping is used to identify user groups for policy enforcement but does not validate
submitted credentials.
Why Not D:
WMI client probing is used for user identification but is not a method for validating submitted
credentials.
Reference from Palo Alto Networks Documentation:
Credential Theft Prevention
Question #4

A customer claims that Advanced WildFire miscategorized a file as malicious and wants proof, because another vendor has said that the file is benign. How could the systems engineer assure the customer that Advanced WildFire was accurate?

  • A. Review the threat logs for information to provide to the customer. 
  • B. Use the WildFire Analysis Report in the log to show the customer the malicious actions the file took when it was detonated. 
  • C. Open a TAG ticket for the customer and allow support engineers to determine the appropriate action.
  • D. Do nothing because the customer will realize Advanced WildFire is right. 
Answer: B 

Explanation:
Advanced WildFire is Palo Alto Networks' cloud-based malware analysis and prevention solution. It
determines whether files are malicious by executing them in a sandbox environment and observing
their behavior. To address the customer's concern about the file categorization, the systems engineer
must provide evidence of the file's behavior. Heres the analysis of each option:
Option A: Review the threat logs for information to provide to the customer
Threat logs can provide a summary of events and verdicts for malicious files, but they do not include
the detailed behavior analysis needed to convince the customer.
While reviewing the logs is helpful as a preliminary step, it does not provide the level of proof the
customer needs.
This option is not sufficient on its own.
Option B: Use the WildFire Analysis Report in the log to show the customer the malicious actions the
file took when it was detonated
WildFire generates an analysis report that includes details about the file's behavior during
detonation in the sandbox, such as network activity, file modifications, process executions, and any
indicators of compromise (IoCs).
This report provides concrete evidence to demonstrate why the file was flagged as malicious. It is the
most accurate way to assure the customer that WildFire's decision was based on observed malicious
actions.
This is the best option.
Option C: Open a TAG ticket for the customer and allow support engineers to determine the
appropriate action
While opening a support ticket is a valid action for further analysis or appeal, it is not a direct way to
assure the customer of the current WildFire verdict.
This option does not directly address the customers request for immediate proof.
This option is not ideal.
Option D: Do nothing because the customer will realize Advanced WildFire is right
This approach is dismissive of the customer's concerns and does not provide any evidence to support WildFire's decision.
This option is inappropriate.
Reference:
Palo Alto Networks documentation on WildFire
WildFire Analysis Reports
Question #5

While a quote is being finalized for a customer that is purchasing multiple PA-5400 series firewalls, the customer specifies the need for protection against zero-day malware attacks. Which Cloud-Delivered Security Services (CDSS) subscription add-on license should be included in the quote?

  • A. AI Access Security
  • B. Advanced Threat Prevention
  • C. Advanced WildFire
  • D. App-ID
Answer: C
Explanation:
Zero-day malware attacks are sophisticated threats that exploit previously unknown vulnerabilities or
malware signatures. To provide protection against such attacks, the appropriate Cloud-Delivered
Security Service subscription must be included.
Why "Advanced WildFire" (Correct Answer C)?
Advanced WildFire is Palo Alto Networks sandboxing solution that identifies and prevents zero-day
malware. It uses machine learning, dynamic analysis, and static analysis to detect unknown malware
in real time.
Files and executables are analyzed in the cloud-based sandbox, and protections are shared globally
within minutes.
Advanced WildFire specifically addresses zero-day threats by dynamically analyzing suspicious files
and generating new signatures.
Why not "AI Access Security" (Option A)?
AI Access Security is designed to secure SaaS applications by monitoring and enforcing data
protection and compliance. While useful for SaaS security, it does not focus on detecting or
preventing zero-day malware. 
Why not "Advanced Threat Prevention" (Option B)?
Advanced Threat Prevention (ATP) focuses on detecting zero-day exploits (e.g., SQL injection, buffer
overflows) using inline deep learning but is not specifically designed to analyze and prevent zero-day
malware. ATP complements Advanced WildFire, but WildFire is the primary solution for malware
detection.
Why not "App-ID" (Option D)?
App-ID identifies and controls applications on the network. While it improves visibility and security
posture, it does not address zero-day malware detection or prevention.
Reference: Palo Alto Networks Advanced WildFire documentation confirms its role in detecting and
preventing zero-day malware through advanced analysis techniques.
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