PSE-SWFW-Pro-24 Online Practice Questions

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The practice questions for PSE-SWFW-Pro-24 exam was last updated on 2025-07-12 .

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Question#1

A company has created a custom application that collects URLs from various websites and then lists bad sites. They want to update a custom URL category on the firewall with the URLs collected.
Which tool can automate these updates?

A. Dynamic User Groups
B. SNMP SET
C. Dynamic Address Groups
D. XMLAPI

Explanation:
The scenario describes a need for programmatic and automated updating of a custom URL category on a Palo Alto Networks firewall. The XML API is specifically designed for this kind of task. It allows external systems and scripts to interact with the firewall's configuration and operational data.
Here's why the XML API is the appropriate solution and why the other options are not:
D. XML API: The XML API provides a well-defined interface for making changes to the firewall's configuration. This includes creating, modifying, and deleting URL categories and adding or removing URLs within those categories. A script can be written to retrieve the list of "bad sites" from the company's application and then use the XML API to push those URLs into the custom URL category on the firewall. This process can be automated on a schedule. This is the most efficient and recommended method for this type of integration.
Why other options are incorrect:
A. Dynamic User Groups: Dynamic User Groups are used to dynamically group users based on attributes like username, group membership, or device posture. They are not relevant for managing URL categories.
B. SNMP SET: SNMP (Simple Network Management Protocol) is primarily used for monitoring and retrieving operational data from network devices. While SNMP can be used to make some configuration changes, it is not well-suited for complex configuration updates like adding multiple URLs to a category. The XML API is the preferred method for configuration changes.
C. Dynamic Address Groups: Dynamic Address Groups are used to dynamically populate address groups based on criteria like tags, IP addresses, or FQDNs. They are intended for managing IP addresses and not URLs, so they are not applicable to this scenario. Palo Alto Networks
Reference: The primary reference for this is the Palo Alto Networks XML API documentation. Searching the Palo Alto Networks support site (live.paloaltonetworks.com) for "XML API" will provide access to the
latest documentation. This documentation details the various API calls available, including those for managing URL categories.
Specifically, you would look for API calls related to:
Creating or modifying custom URL categories.
Adding or removing URLs from a URL category.
The XML API documentation provides examples and detailed information on how to construct the XML requests and interpret the responses. This is crucial for developing a script to automate the URL updates.

Question#2

Which two statements accurately describe cloud-native load balancing with Palo Alto Networks VM-Series firewalls and/or Cloud NGFW in public cloud environments? (Choose two.)

A. Cloud NGFW’s distributed architecture model requires deployment of a single centralized firewall and will force all traffic to the firewall across pre-built VPN tunnels.
B. VM-Series firewall deployments in the public cloud will require the deployment of a cloud-native load balancer if high availability (HA) or redundancy is needed.
C. Cloud NGFW in AWS or Azure has load balancing built into the underlying solution and does not require the deployment of a separate load balancer.
D. VM-Series firewall load balancing is automated and is handled by the internal mechanics of the NGFW software without the need for a load balancer.

Explanation:
Cloud-native load balancing with Palo Alto Networks firewalls in public clouds involves understanding the distinct approaches for VM-Series and Cloud NGFW:
A. Cloud NGFW’s distributed architecture model requires deployment of a single centralized firewall and will force all traffic to the firewall across pre-built VPN tunnels: This is incorrect. Cloud NGFW uses a distributed architecture where traffic is steered to the nearest Cloud NGFW instance, often using Gateway Load Balancers (GWLBs) or similar services. It does not rely on a single centralized firewall or force all traffic through VPN tunnels.
B. VM-Series firewall deployments in the public cloud will require the deployment of a cloud-native load balancer if high availability (HA) or redundancy is needed: This is correct. VM-Series firewalls, when deployed for HA or redundancy, require a cloud-native load balancer (e.g., AWS ALB/NLB/GWLB, Azure Load Balancer) to distribute traffic across the active firewall instances. This ensures that if one firewall fails, traffic is automatically directed to a healthy instance.
C. Cloud NGFW in AWS or Azure has load balancing built into the underlying solution and does not require the deployment of a separate load balancer: This is also correct. Cloud NGFW integrates with cloud-native load balancing services (e.g., Gateway Load Balancer in AWS) as part of its architecture. This provides automatic scaling and high availability without requiring you to manage a separate load balancer.
D. VM-Series firewall load balancing is automated and is handled by the internal mechanics of the NGFW software without the need for a load balancer: This is incorrect. VM-Series firewalls do not have built-in load balancing capabilities for HA. A cloud-native load balancer is essential for distributing traffic and ensuring redundancy.
Reference: Cloud NGFW documentation: Look for sections on architecture, traffic steering, and integration with cloud-native load balancing services (like AWS Gateway Load Balancer).
VM-Series deployment guides for each cloud provider: These guides explain how to deploy VM-Series firewalls for HA using cloud-native load balancers.
These resources confirm that VM-Series requires external load balancers for HA, while Cloud NGFW has load balancing integrated into its design.

Question#3

A Cloud NGFW for Azure can be deployed to which two environments? (Choose two.)

A. Azure Kubernetes Service (AKS)
B. Azure Virtual WAN
C. Azure DevOps
D. Azure VNET

Explanation:
Cloud NGFW for Azure is designed to secure network traffic within and between Azure environments:
A. Azure Kubernetes Service (AKS): While CN-Series firewalls are designed for securing Kubernetes environments like AKS, Cloud NGFW is not directly deployed within AKS. Instead, Cloud NGFW secures traffic flowing to and from AKS clusters.
B. Azure Virtual WAN: Cloud NGFW can be deployed to secure traffic flowing through Azure Virtual WAN hubs. This allows for centralized security inspection of traffic between on-premises networks, branch offices, and Azure virtual networks.
C. Azure DevOps: Azure DevOps is a set of development tools and services. Cloud NGFW is a network security solution and is not directly related to Azure DevOps.
D. Azure VNET: Cloud NGFW can be deployed to secure traffic within and between Azure Virtual
Networks (VNETs). This is its primary use case, providing advanced threat prevention and network
security for Azure workloads.
Reference: The Cloud NGFW for Azure documentation clearly describes these deployment scenarios: Cloud NGFW for Azure Documentation: Search for "Cloud NGFW for Azure" on the Palo Alto Networks support portal. This documentation explains how to deploy Cloud NGFW in VNETs and integrate it with Virtual WAN.
This confirms that Azure VNETs and Azure Virtual WAN are the supported deployment environments for Cloud NGFW.

Question#4

Which two products are deployed with Terraform for high levels of automation and integration? (Choose two.)

A. Cloud NGFW
B. VM-Series firewall
C. Cortex XSOAR
D. Prisma Access

Explanation:
Terraform is an Infrastructure-as-Code (IaC) tool that enables automated deployment and management of infrastructure.
Why A and B are correct:
A. Cloud NGFW: Cloud NGFW can be deployed and managed using Terraform, allowing for automated provisioning and configuration.
B. VM-Series firewall: VM-Series firewalls are commonly deployed and managed with Terraform, enabling automated deployments in public and private clouds.
Why C and D are incorrect:
C. Cortex XSOAR: While Cortex XSOAR can integrate with Terraform (e.g., to automate workflows related to infrastructure changes), XSOAR itself is not deployed with Terraform. XSOAR is a Security Orchestration, Automation, and Response (SOAR) platform.
D. Prisma Access: While Prisma Access can be integrated with other automation tools, the core Prisma Access service is not deployed using Terraform. Prisma Access is a cloud-delivered security platform.
Palo Alto Networks
Reference: Terraform Registry: The Terraform Registry contains official Palo Alto Networks providers for VM-Series and Cloud NGFW. These providers allow you to define and manage these resources using
Terraform configuration files.
Palo Alto Networks GitHub Repositories: Palo Alto Networks maintains GitHub repositories with Terraform examples and modules for deploying and configuring VM-Series and Cloud NGFW.
Palo Alto Networks Documentation on Cloud NGFW and VM-Series: The official documentation for these products often includes sections on automation and integration with tools like Terraform. These resources clearly demonstrate that VM-Series and Cloud NGFW are designed to be deployed and managed using Terraform.

Question#5

A company has purchased Palo Alto Networks Software NGFW credits and wants to run PAN-OS 11.x virtual machines (VMs).
Which two types of VMs can be selected when creating the deployment profile? (Choose two.)

A. VM-100
B. Fixed vCPU models
C. Flexible model of working memory
D. Flexible vCPUs

Explanation:
When using Software NGFW credits and deploying PAN-OS VMs, specific deployment models apply.
Why B and D are correct:
B. Fixed vCPU models: These are pre-defined VM sizes with a fixed number of vCPUs and memory.
Examples include VM-50, VM-100, VM-200, etc. When using fixed vCPU models, you consume a fixed number of credits per hour based on the chosen model.
D. Flexible vCPUs: This option allows you to dynamically allocate vCPUs and memory within a defined range. Credit consumption is calculated based on the actual resources used. This provides more granular control over resource allocation and cost.
Why A and C are incorrect:
A. VM-100: While VM-100 is a valid fixed vCPU model, it's not a type of VM selection. It's a specific instance within the "Fixed vCPU models" type. Choosing "VM-100" is choosing a specific fixed vCPU model.
C. Flexible model of working memory: While you do configure the memory alongside vCPUs in the flexible model, the type of selection is "Flexible vCPUs." The flexible model encompasses both vCPU and memory flexibility.
Palo Alto Networks
Reference: The Palo Alto Networks documentation on VM-Series firewalls in public clouds and the associated licensing models (including the use of credits) explicitly describe the "Fixed vCPU models" and "Flexible vCPUs" as the two primary deployment options when using credits. The documentation details how credit consumption is calculated for each model.
Specifically, look for information on:
VM-Series Deployment Guide for your cloud provider (AWS, Azure, GCP): These guides detail the different deployment options and how to use credits.
VM-Series Licensing and Credits Documentation: This documentation provides details on how credits are consumed with fixed and flexible models.
For example, the VM-Series Deployment Guide for AWS states:
Fixed vCPU models: These are pre-defined VM sizes... You select a specific VM model (e.g., VM-50, VM-100, VM-300), and you are billed a fixed number of credits per hour.
Flexible vCPUs: This option allows you to specify the number of vCPUs and amount of memory... You are billed based on the actual resources you use.

Exam Code: PSE-SWFW-Pro-24Q & A: 61 Q&AsUpdated:  2025-07-12

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