Authentic Paloalto Networks Certification Exam PSE-Strata-Pro-24 Questions Answers

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 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.

Palo Alto Networks AIOps for NGFW is a cloud-delivered service that leverages telemetry data and machine learning (ML) to provide proactive operational insights, best practice recommendations, and issue prevention.

Why "It is offered in two license tiers: a free version and a premium version" (Correct Answer B)?AIOps for NGFW is available in two tiers:

Free Tier:Provides basic operational insights and best practices at no additional cost.

Premium Tier:Offers advanced capabilities, such as AI-driven forecasts, proactive issue prevention, and enhanced ML-based recommendations.

Why "It uses telemetry data to forecast, preempt, or identify issues, and it uses machine learning (ML) to adjust and enhance the process" (Correct Answer C)?AIOps uses telemetry data from NGFWs to analyze operational trends, forecast potential problems, and recommend solutions before issues arise. ML continuously refines these insights by learning from real-world data, enhancing accuracy and effectiveness over time.

Why not "It is offered in two license tiers: a commercial edition and an enterprise edition" (Option A)?This is incorrect because the licensing model for AIOps is based on "free" and "premium" tiers, not "commercial" and "enterprise" editions.

Why not "It forwards log data to Advanced WildFire to anticipate, prevent, or identify issues, and it uses machine learning (ML) to refine and adapt to the process" (Option D)?AIOps does not rely on Advanced WildFire for its operation. Instead, it uses telemetry data directly from the NGFWs to perform operational and security analysis.