PSE-SWFW-Pro-24 Premium Exam Questions

Comprehensive and Detailed In-Depth Step-by-Step Explanation:The CN-Series firewall is a containerized next-generation firewall designed to secure workloads in containerized environments, particularly those running on Kubernetes. According to the Palo Alto Networks Systems Engineer Professional - Software Firewall documentation, the primary tool for deploying CN-Series firewalls is Kubernetes, as it integrates natively with Kubernetes clusters to provide security for containerized applications.

Kubernetes (Option B): Kubernetes is the orchestration platform used to deploy, manage, and scale CN-Series firewalls within containerized environments. It allows for dynamic scaling and integration with container workloads, ensuring security policies are applied consistently across pods and services.

Options A (GCP Automated Deployment Services), C (Docker Swarm), and D (Terraform Automated Deployment Services) are incorrect. While GCP Automated Deployment Services and Terraform can be used for automation, they are not specific to CN-Series deployment in the context of Kubernetes. Docker Swarm, while a container orchestration platform, is not supported for CN-Series firewalls, as Palo Alto Networks focuses on Kubernetes for CN-Series deployment.

References: Palo Alto Networks Systems Engineer Professional - Software Firewall, Section: CN-Series Deployment Guide, Kubernetes Integration Documentation.

Credit-based flexible licensing provides flexibility in deploying and managing Palo Alto Networks software firewalls. Let's analyze the options:

A. Create virtual Panoramas: While Panorama can manage software firewalls, credit-based licensing is primarily focused on the firewalls themselves (VM-Series, CN-Series, Cloud NGFW), not on Panorama. Panorama has its own licensing model.

B. Add Cloud-Delivered Security Services (CDSS) subscriptions to CN-Series firewalls: This is a VALID benefit. Credit-based licensing allows customers to use credits to enable CDSS subscriptions (like Threat Prevention, URL Filtering, WildFire) on CN-Series firewalls. This provides flexibility in choosing and applying security services as needed.

Azure vWAN (Virtual WAN) is a networking service that connects on-premises locations, branches, and Azure virtual networks. Protecting egress traffic from workloads attached to a vWAN hub requires a solution that can integrate with the vWAN architecture.

A. Cloud NGFW: Cloud NGFW is designed for cloud environments and integrates directly with Azure networking services, including vWAN. It can be deployed as a secured virtual hub or as a spoke VNet insertion to protect egress traffic.

B. PA-Series: PA-Series are hardware appliances and are not directly deployable within Azure vWAN. They would require complex configurations involving on-premises connectivity and backhauling traffic, which is not a typical or recommended vWAN design.

C. CN-Series: CN-Series is designed for containerized environments and is not suitable for protecting general egress traffic from workloads connected to a vWAN hub.

D. VM-Series: VM-Series firewalls can be deployed in Azure virtual networks that are connected to the vWAN hub. They can then be configured to inspect and control egress traffic. This is a common deployment model for VM-Series in Azure.

Advanced CDSS subscriptions offer enhanced threat prevention capabilities:

A. To improve firewall throughput by inspecting hashes of advanced packet headers: While some security features use hashing, this is not the primary advantage of advanced CDSS.

B. To download and install new threat-related signature databases in real-time: Both standard and advanced CDSS subscriptions receive regular threat updates.

C. To use cloud-scale machine learning inline for detection of highly evasive and zero-day threats: This is a key differentiator of advanced CDSS. It leverages cloud-based machine learning to detect sophisticated threats that traditional signature-based methods might miss.

D. To use external dynamic lists for blocking known malicious threat sources and destinations: Both standard and advanced CDSS can use external dynamic lists.

References:

Information about the specific features of advanced CDSS, such as inline machine learning, can be found on the Palo Alto Networks website and in datasheets comparing different CDSS subscription levels.