PSE-SWFW-Pro-24 Practice Questions

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 References:

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.

The question asks about Cloud NGFW offerings under the CSP's own brand name. This means the CSP is offering the service as their own, even though it's powered by Palo Alto Networks technology.

A.  

Oracle Cloud Infrastructure (OCI): OCI offers Oracle Cloud Infrastructure Network Firewall, which is powered by Palo Alto Networks' Cloud NGFW technology. It is branded as an Oracle service.

B.  

IBM Cloud (previously Softlayer): While Palo Alto Networks products can be deployed in IBM Cloud, there isn't a branded Cloud NGFW offering by IBM itself.

C.  

Alibaba Cloud: Similar to IBM Cloud, while Palo Alto Networks products can be used, Alibaba Cloud does not offer a rebranded Cloud NGFW service.

D.  

Google Cloud Platform (GCP): GCP offers Network Firewall Plus, which is powered by Palo Alto Networks' Cloud NGFW technology. It is branded as a Google

The VM-Series plugin enables integration between Panorama and VM-Series firewalls.

Why C and D are correct:

C.  

D.  

Why A and B are incorrect:

A.  

B.  

Palo Alto Networks References:

Panorama Administrator's Guide: This guide details plugin management and specifically mentions the VM-Series plugin for cloud integrations.

VM-Series Deployment Guides: These guides explain how to connect VM-Series firewalls to Panorama.

‘QUESTION NO: 41Which three statements describe benefits of the memory scaling feature introduced in PAN-OS 10.2? (Choose three.)

A.  

B.  

C.  

D.  

E.  

Answer: BCE

Memory scaling in PAN-OS 10.2 and later enhances capacity for certain functions.

Why B, C, and E are correct:

B.  

Increased maximum sessions with additional memory: More memory allows the firewall to maintain state for a larger number of concurrent sessions.

C.  

Increased maximum number of Dynamic Address Groups with additional memory: DAGs consume memory, so scaling memory allows for more DAGs.

E.  

Increased maximum security rule count with additional memory: More memory allows the firewall to store and process a larger number of security rules.

Why A and D are incorrect:

A.  

Increased maximum throughput with additional memory: Throughput is primarily related to CPU and network interface performance, not memory.

D.  

Increased number of tags per IP address with additional memory: The number of tags per IP is not directly tied to the memory scaling feature.

Palo Alto Networks References:

PAN-OS Release Notes for 10.2 and later: The release notes for PAN-OS versions introducing memory scaling explain the benefits in detail.

PAN-OS Administrator's Guide: The guide may also contain information about resource limits and the impact of memory scaling.

The release notes specifically mention the increased capacity for sessions, DAGs, and security rules as key benefits of memory scaling.

Comprehensive and Detailed In-Depth Step-by-Step Explanation:Terraform is an Infrastructure-as-Code (IaC) tool that automates the provisioning and configuration of infrastructure, including Palo Alto Networks firewalls. The Palo Alto Networks Systems Engineer Professional - Software Firewall documentation specifies which firewall products support Terraform integration for deployment and automation in cloud and virtualized environments.

VM-Series firewall (Option B): Terraform can be used to deploy VM-Series firewalls in public clouds (e.g., AWS, Azure, GCP), private clouds, or on-premises virtualized environments. Palo Alto Networks provides Terraform modules and scripts (available on GitHub) to automate VM-Series deployment, configuration, and integration with cloud-native services, ensuring scalability and repeatability. The documentation highlights Terraform as a key automation tool for VM-Series, aligning with DevOps practices.

CN-Series firewall (Option C): CN-Series firewalls, designed for containerized environments, can be deployed using Terraform in conjunction with Kubernetes. Terraform scripts automate the provisioning of infrastructure (e.g., Kubernetes clusters in AWS, Azure, or GCP) and integrate with CN-Series for securing container workloads. The documentation notes Terraform’s role in automating CN-Series deployments, leveraging Kubernetes manifests and cloud-native integrations.

Options A (PA-Series firewall) and D (Cloud NGFW) are incorrect. PA-Series firewalls are physical appliances, not virtual or software-based, and do not support Terraform deployment, as Terraform focuses on cloud and virtualized infrastructure, not hardware. Cloud NGFW is a cloud-native managed service in AWS and Azure, and while it can be managed or deployed through automation, it does not use Terraform directly for deployment, as it relies on cloud provider APIs and native scaling mechanisms, not IaC tools like Terraform.

References: Palo Alto Networks Systems Engineer Professional - Software Firewall, Section: Automation and Integration, Terraform Documentation for VM-Series and CN-Series, GitHub Repository for Palo Alto Networks.