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Palo Alto Networks Network Security Architect Sample Questions (Q33-Q38):
NEW QUESTION # 33
A large organization is building a hybrid AI environment. The plan is to develop proprietary machine learning (ML) models on-premises in a VMware NSX environment and create separate, cloud-native AI applications in a Google Kubernetes Engine (GKE) cluster environment. The CISO has requested a single solution that can offer runtime protection and visibility for the two environments. Which Prisma AIRS component or form factor should a security architect recommend to this customer?
- A. AI Agent Security installed on each individual virtual machine (VM) and container across both environments to provide host-level protection
- B. Prisma AIRS Network Intercept deployed as security virtual appliances in both environments
- C. AI Security Posture Management (AI-SPM) scanner to connect to both on-premises and cloud environments to scan for misconfigurations
- D. Prisma AIRS SaaS platform to ingest telemetry from both environments without requiring local enforcement points
Answer: B
Explanation:
Network Intercept provides runtime visibility and protection by inspecting live traffic flows within both virtualized environments like VMware NSX and containerized environments such as GKE.
This allows a single, consistent control point to monitor and secure AI workloads across hybrid environments, addressing both visibility and enforcement requirements at runtime.
NEW QUESTION # 34
A large organization uses Palo Alto Networks VM-Series firewalls deployed across multiple availability zones in Microsoft Azure. These are managed by an Azure Virtual Machine Scale Set (VMSS) and integrated with an Azure Load Balancer for high availability (HA) traffic inspection within a Transit VNet.
The security team needs to perform a critical PAN-OS software upgrade across the entire fleet of firewalls with the requirement of minimal application downtime.
Following Palo Alto Networks best practices for highly available cloud deployments, what is the recommended approach for safely performing this software upgrade with the least downtime?
- A. Use Azure Update Manager to push the PAN-OS upgrade package directly to all firewall instances simultaneously during a scheduled maintenance window
- B. Configure Azure Load Balancer probes to handle the health check failover during upgrades
- C. Provision a new, parallel VMSS with the new PAN-OS version, validate it, and redirect traffic from the old VMSS to the new one
- D. Update the image in an Azure VMSS and then initiate an upgrade of the instances
Answer: C
Explanation:
The safest approach with the least downtime is a blue/green-style replacement: build a new parallel VMSS running the target PAN-OS version, validate it fully, and then redirect traffic from the old scale set to the new one. Palo Alto Networks documents creating custom Azure VM- Series images for the exact PAN-OS version you want to deploy, which supports standing up a separate validated fleet rather than in-place upgrading the active inspection path. Azure health probes help determine instance health during updates, but they do not remove the risk of service disruption from upgrading the live fleet in place.
NEW QUESTION # 35
You need to ensure consistent threat prevention across all applications. Which approach should you use?
- A. Use Security Profiles Group
- B. Use NAT rules
- C. Apply profiles per application manually
- D. Disable inspection
Answer: A
Explanation:
Security Profile Groups allow consistent application of multiple security profiles across policies.
This ensures standardized protection and simplifies management compared to applying profiles individually.
NEW QUESTION # 36
An organization wants to modernize its legacy branch architecture. The existing architecture is rigid, complex, and ill-suited for a cloud-first strategy, creating high operational costs and latency.
- The four core data centers are strategically located in Dallas, Toronto, London and Tokyo, and they are interconnected by a dedicated MPLS backbone providing reliable connectivity but incurring significant costs and offering limited bandwidth scalability.
- Branches rely on MPLS or site-to-site VPN to connect to the nearest geographical data center.
- All internet-bound traffic from the branches is backhauled to the data center egress firewalls.
This creates latency for SaaS applications and increases bandwidth strain on the MPLS links.
The organization requires a proposal for a new WAN architecture for branch connectivity with the goal of improving security posture and SaaS application access as well as supporting local internet breakout for all branch devices, including IoT.
Which two implementations will achieve the goal of modernizing the branch architecture?
(Choose two.)
- A. NGFW at each branch with Large Scale VPN (LSVPN) for data center access and Direct Internet Access (DIA)
- B. SD-WAN using on-premises NGFWs for Direct Internet Access (DIA)
- C. SASE with Prisma Access for remote networks and service connections
- D. SSE with Prisma Access for mobile users and service connections
Answer: B,C
Explanation:
SD-WAN using on-premises NGFWs for DIA modernizes branch connectivity by enabling secure local internet breakout at the branch instead of backhauling SaaS traffic through central data centers, which reduces latency and improves cloud application performance. Palo Alto Networks documents PAN-OS SD-WAN support for DIA and securing internet traffic either locally at the branch or through Prisma Access. IoT visibility is also supported at Prisma SD-WAN branch sites through ION devices, which aligns with the requirement to support all branch devices, including IoT.
SASE with Prisma Access for remote networks and service connections is the cloud-delivered architecture that secures branch offices through remote network connectivity while connecting back to enterprise resources through service connections. Palo Alto Networks describes Prisma Access as providing connectivity and security for remote branches, headquarters, data centers, and mobile users without requiring customers to build their own global security infrastructure, which directly supports a cloud-first branch modernization strategy.
NEW QUESTION # 37
A global manufacturing organization with 50,000 employees spanning 35 countries designs advanced industrial equipment and owns significant intellectual property. The organization operates in a highly competitive market where protecting trade secrets is critical to maintaining market advantage.
Over the past 18 months, the CISO discovered that employees across the organization have adopted hundreds of GenAI applications to improve productivity. Engineers use AI coding assistants to accelerate product development sales teams use AI tools to generate proposals, and customer service representatives use chatbots to draft responses. While this adoption has driven innovation, it has also created significant security risks.
A security audit reveals sensitive CAD files uploaded to image-generation services, proprietary source code shared with public coding assistants, and confidential customer information used in prompts. The audit identifies over 300 different GenAI applications in use, most of which had not been formally reviewed or approved.
The customer service department has also been developing internal AI applications, including a customer service copilot built on a cloud large language model (LLM) platform, an internal knowledge management assistant, and a code review tool. These internal applications access sensitive databases, customer records and internal APIs - creating additional security concerns about exploitation or misuse.
The organization has a distributed workforce in which 60% of employees work remotely or in hybrid arrangements, accessing corporate resources and AI applications from various locations using managed and unmanaged devices. Existing network security infrastructure lacks AI-specific security capabilities.
Organization leadership wants to enable AI-driven innovation while implementing comprehensive security controls. The CISO has been tasked with developing an organization-wide GenAI governance program that protects sensitive assets without hindering productivity. The program must address both external AI applications employees are using and internal AI applications being developed by IT.
Which architectural approach best aligns with the organization's strategic objectives to enable AI innovation and protect sensitive assets?
- A. Segment network zones within each data center to isolate AI workloads from critical IP address repositories and monitor east-west traffic
- B. Block external GenAI applications at the firewall and empower employees to use internally developed AI applications.
- C. Rely on existing perimeter firewalls and VPN concentrators applying standard URL filtering and data loss prevention (DLP) policies for AI traffic
- D. Deploy a cloud-delivered security platform with AI-aware controls integrated with identity and device posture
Answer: D
Explanation:
A cloud-delivered security platform with AI-aware controls provides centralized visibility and policy enforcement across both sanctioned and unsanctioned AI applications, regardless of user location or device. By integrating identity and device posture, it enables granular Zero Trust access, protects sensitive data from exfiltration, and secures both external and internally developed AI applications without restricting innovation.
NEW QUESTION # 38
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