PSE-Strata-Pro-24 Exam Dumps - Paloalto Networks PSE-Strata Professional Questions and Answers

The CN-Series firewalls are Palo Alto Networks’ containerized Next-Generation Firewalls (NGFWs) designed to secure Kubernetes clusters. Unlike the Strata Hardware Firewalls (e.g., PA-Series), which are physical appliances, the CN-Series is a software-based solution deployed within containerized environments. The question focuses on the specific files used to deploy CN-Series firewalls in Kubernetes clusters. Based on Palo Alto Networks’ official documentation, the two correct files are PAN-CN-MGMT-CONFIGMAP and PAN-CN-MGMT. Below is a detailed explanation of why these files are essential, with references to CN-Series deployment processes (noting that Strata hardware documentation is not directly applicable here but is contextualized for clarity).

Step 1: Understanding CN-Series Deployment in Kubernetes

The CN-Series firewall consists of two primary components: the CN-MGMT (management plane) and the CN-NGFW (data plane). These components are deployed as containers in a Kubernetes cluster, orchestrated using YAML configuration files. The deployment process involves defining resources such as ConfigMaps, Pods, and Services to instantiate and manage the CN-Series components. The files listed in the question are Kubernetes manifests or configuration files used during this process.

CN-MGMT Role:The CN-MGMT container handles the management plane, providing configuration, logging, and policy enforcement for the CN-Series firewall. It requires a dedicated YAML file to define its deployment.

CN-NGFW Role:The CN-NGFW container handles the data plane, inspecting traffic within the Kubernetes cluster. It relies on configurations provided by CN-MGMT and additional networking setup (e.g., via CNI plugins).

ConfigMaps:Kubernetes ConfigMaps store configuration data separately from container images, making them critical for passing settings to CN-Series components.

When sizing a Palo Alto Networks NGFW appliance, it's crucial to consider variables that affect its performance and capacity. These include the network's traffic characteristics, application requirements, and expected workloads. Below is the analysis of each option:

Option A: Connections per second

Connections per second (CPS) is a critical metric for determining how many new sessions the firewall can handle per second. High CPS requirements are common in environments with high traffic turnover, such as web servers or applications with frequent session terminations and creations.

This is an important sizing variable.

Option B: Max sessions

Max sessions represent the total number of concurrent sessions the firewall can support. For environments with a large number of users or devices, this metric is critical to prevent session exhaustion.

This is an important sizing variable.

Option C: Packet replication

Packet replication is used in certain configurations, such as TAP mode or port mirroring for traffic inspection. While it impacts performance, it is not a primary variable for firewall sizing as it is a specific use case.

This is not a key variable for sizing.

Option D: App-ID firewall throughput

App-ID throughput measures the firewall's ability to inspect traffic and apply policies based on application signatures. It directly impacts the performance of traffic inspection under real-world conditions.

This is an important sizing variable.

Option E: Telemetry enabled

While telemetry provides data for monitoring and analysis, enabling it does not significantly impact the sizing of the firewall. It is not a core variable for determining firewall performance or capacity.

This is not a key variable for sizing.

References:

Palo Alto Networks documentation on Firewall Sizing Guidelines

Knowledge Base article on Performance and Capacity Sizing

The customer is seeking centralized policy management to reduce human error while maintaining compliance with their contractual obligations to AWS and Azure. Here's the evaluation of each option:

Option A: Cloud NGFWs at both CSPs; provide the customer a license for a Panorama virtual appliance from their CSP's marketplace of choice to centrally manage the systems

Cloud NGFW is a fully managed Next-Generation Firewall service by Palo Alto Networks, offered in AWS and Azure marketplaces. It integrates natively with the CSP infrastructure, making it a good fit for customers with existing CSP agreements.

Panorama, Palo Alto Networks' centralized management solution, can be deployed as a virtual appliance in the CSP marketplace of choice, enabling centralized policy management across all NGFWs.

This option addresses the customer's need for centralized management while leveraging their existing contracts with AWS and Azure.

This option is appropriate.

Option B: Cloud NGFWs in AWS and VM-Series firewall in Azure; the customer selects a PAYG licensing Panorama deployment in their CSP of choice

This option suggests using Cloud NGFW in AWS but VM-Series firewalls in Azure. While VM-Series is a flexible virtual firewall solution, it may not align with the customer’s stated preference for CSP-managed services like Cloud NGFW.

This option introduces a mix of solutions that could complicate centralized management and reduce operational efficiency.

This option is less appropriate.

Option C: VM-Series firewalls in both CSPs; manually built Panorama in the CSP of choice on a host of either type: Palo Alto Networks provides a license

VM-Series firewalls are well-suited for cloud deployments but require more manual configuration compared to Cloud NGFW.

Building a Panorama instance manually on a host increases operational overhead and does not leverage the customer’s existing CSP marketplaces.

This option is less aligned with the customer's needs.

Option D: VM-Series firewall and CN-Series firewall in both CSPs; provide the customer a private-offer Panorama virtual appliance from their CSP’s marketplace of choice to centrally manage the systems

This option introduces both VM-Series and CN-Series firewalls in both CSPs. While CN-Series firewalls are designed for Kubernetes environments, they may not be relevant if the customer does not specifically require container-level security.

Adding CN-Series firewalls may introduce unnecessary complexity and costs.

This option is not appropriate.

References:

Palo Alto Networks documentation on Cloud NGFW

Panorama overview in Palo Alto Knowledge Base

VM-Series firewalls deployment guide in CSPs: Palo Alto Documentation

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. Here’s 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 isnot a direct way to assure the customer of the current WildFire verdict.

This option does not directly address the customer’s 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.

References:

Palo Alto Networks documentation on WildFire

WildFire Analysis Reports

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. 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 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 detectand 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.

The question asks for three use cases specific to Policy Optimizer, a feature in PAN-OS designed to enhance security policy management on Palo Alto Networks Strata Hardware Firewalls. Policy Optimizer helps administrators refine firewall rules by leveraging App-ID technology, transitioning from legacy port-based policies to application-based policies, and optimizing rule efficiency. Below is a detailed explanation of why options A, C, and E are the correct use cases, verified against official Palo Alto Networks documentation.

Step 1: Understanding Policy Optimizer in PAN-OS

Policy Optimizer is a tool introduced in PAN-OS 9.0 and enhanced in subsequent versions (e.g., 11.1), accessible under Policies > Policy Optimizer in the web interface. It analyzes traffic logs to:

Identify applications traversing the network.

Suggest refinements to security rules (e.g., replacing ports with App-IDs).

Provide insights into rule usage and optimization opportunities.

Its primary goal is to align policies with Palo Alto Networks’ application-centric approach, improving security and manageability on Strata NGFWs.

The problem provides several constraints and design requirements that must be carefully considered:

Bandwidth Requirement:

The customer needs an NGFW capable of handling a total throughput of 72 Gbps.

The PA-5445 is specifically designed for high-throughput environments and supports up to81.3 Gbps Threat Prevention throughput(as per the latest hardware performance specifications). This ensures the throughput needs are fully met with some room for growth.

Interface Compatibility:

The customer mentions that their core switches support up to40 Gbps interfaces. The design must include aggregate links to meet the overall bandwidth while aligning with the 40 Gbps interface limitations.

The PA-5445 supports40Gbps QSFP+ interfaces, making it a suitable option for the hardware requirement.

No Change to IP Address Structure:

Since the customer cannot modify their IP address structure, deploying the NGFW inLayer-2 or Virtual Wire modeis ideal.

Virtual Wire modeallows the firewall to inspect traffic transparently between two Layer-2 devices without modifying the existing IP structure. Similarly, Layer-2 mode allows the firewall to behave like a switch at Layer-2 while still applying security policies.

Threat Prevention, DNS, and Sandboxing Requirements:

The customer requires advanced security features likeThreat Preventionand potentiallysandboxing(WildFire). The PA-5445 is equipped to handle these functionalities with its dedicated hardware-based architecture for content inspection and processing.

Aggregate Interface Groups:

The architecture should includeaggregate interface groupsto distribute traffic across multiple physical interfaces to support the high throughput requirement.

By aggregating2 x 40Gbps interfaces on both sides of the pathin Virtual Wire or Layer-2 mode, the design ensures sufficient bandwidth (up to 80 Gbps per side).

Why PA-5445 in Layer-2 or Virtual Wire mode is the Best Option:

Option Asatisfies all the customer’s requirements:

The PA-5445 meets the 72 Gbps throughput requirement.

2 x 40 Gbps interfaces can be aggregated to handle traffic flow between the core switches and the NGFW.

Virtual Wire or Layer-2 mode preserves the IP address structure, while still allowing full threat prevention and DNS inspection capabilities.

The PA-5445 also supports sandboxing (WildFire) for advanced file-based threat detection.

Why Not Other Options:

Option B:

The PA-5430 is insufficient for the throughput requirement (72 Gbps). Itsmaximum Threat Prevention throughput is 60.3 Gbps, which does not provide the necessary capacity.

Option C:

While the PA-5445 is appropriate, deploying it inLayer-3 modewould require changes to the IP address structure, which the customer explicitly stated is not an option.

Option D:

The PA-5430 does not meet the throughput requirement. Although Layer-2 or Virtual Wire mode preserves the IP structure, the throughput capacity of the PA-5430 is a limiting factor.

References from Palo Alto Networks Documentation:

Palo Alto Networks PA-5400 Series Datasheet (latest version)

Specifies the performance capabilities of the PA-5445 and PA-5430 models.

Palo Alto Networks Virtual Wire Deployment Guide

Explains how Virtual Wire mode can be used to transparently inspect traffic without changing the existing IP structure.

Aggregated Ethernet Interface Documentation

Details the configuration and use of aggregate interface groups for high throughput.

ThePA-400 Seriesis the most cost-efficient Palo Alto Networks NGFW for small branch offices. Let’s analyze the options:

PA-400 Series (Recommended Option)

The PA-400 Series (PA-410, PA-415, etc.) is specifically designed for small to medium-sized branch offices with fewer than 50 users.

It provides all the necessary security features, including Advanced Threat Prevention, at a lower price point compared to higher-tier models.

It supports PAN-OS and Cloud-Delivered Security Services (CDSS), making it suitable for securing internet traffic at branch locations.

Why Other Options Are Incorrect

PA-200:The PA-200 is an older model and is no longer available. It lacks the performance and features needed for modern branch office security.

PA-500:The PA-500 is also an older model that is not as cost-efficient as the PA-400 Series.

PA-600:The PA-600 Series does not exist.

Key Takeaways:

For branch offices with fewer than 50 users, the PA-400 Series offers the best balance ofcost and performance.

References:

Palo Alto Networks PA-400 Series Datasheet