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Palo Alto Networks NetSec-Architect Exam Syllabus Topics:

Palo Alto Networks Network Security Architect Sample Questions:

1. A multinational organization has a large worldwide remote user base. This user base consists of several persona types with distinct requirements and concerns regarding the adoption of a Zero Trust Network Access (ZTNA) solution.
- Developers have a requirement to temporarily bypass security controls for business purposes, but the security team sees this as a potential risk. The developers commonly access development servers onsite in private data centers and public cloud. These development applications use web (HTTP/HTTPS), API, RPC, and SMB-based applications.
- Sales staff travel regularly and connect to the network via many different types of connections, but they are generally limited to SaaS-based web applications. They often complain about performance when any agent is installed and want the ability to temporarily disable these agents.
Data exfiltration and insider risk have been identified as the primary threats for this class of user.
- Executives have concerns about being high-value targets. Security must be consistent across the multiple endpoint types, including mobile and desktop devices. The executive team members have indicated that their primary objective is to ensure that the solution is responsive and easy to troubleshoot.
Which two solutions will help mitigate the risk to the sales staff? (Choose two.)

A) Forwarding profiles in Prisma Access Agent with end users granted route control access to bypass specific domains without disabling the agent
B) Endpoint DLP on Prisma Access Agent to ensure organization data is not exfiltrated
C) Network enforcement feature on GlobalProtect to restrict access to high-risk URL categories
D) GlobalProtect in hybrid mode to provide explicit proxy-based secure web gateway (SWG) protection even when the tunnel is disconnected

2. 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.
In which two ways would Prisma AIRS secure AI agents deployed across multiple cloud platforms in this scenario? (Choose two.)

A) By offering Network Intercept for infrastructure-level protection across any cloud platform and API Intercept for application-level security embedded directly in agent code.
B) By supporting API Intercept for Multicloud deployments since Network Intercept cannot be deployed in the network architectures of different cloud providers.
C) By providing Network Intercept inline in multicloud network architectures to monitor AI agent traffic, and API Intercept as Security as Code (SaC) to scan prompts and responses before they reach models.
D) By requiring separate product installations for each cloud platform with AWS-specific agents for Bedrock and GCP-specific agents for Vertex AI that cannot share policies.

3. A multinational organization has a large worldwide remote user base. This user base consists of several persona types with distinct requirements and concerns regarding the adoption of a Zero Trust Network Access (ZTNA) solution.
- Developers have a requirement to temporarily bypass security controls for business purposes, but the security team sees this as a potential risk. The developers commonly access development servers onsite in private data centers and public cloud. These development applications use web (HTTP/HTTPS), API, RPC, and SMB-based applications.
- Sales staff travel regularly and connect to the network via many different types of connections, but they are generally limited to SaaS-based web applications. They often complain about performance when any agent is installed and want the ability to temporarily disable these agents.
Data exfiltration and insider risk have been identified as the primary threats for this class of user.
- Executives have concerns about being high-value targets. Security must be consistent across the multiple endpoint types, including mobile and desktop devices. The executive team members have indicated that their primary objective is to ensure that the solution is responsive and easy to troubleshoot.
Which two parameters should the architect take into account regarding GlobalProtect gateway selection? (Choose two.)

A) Gateway priority
B) Proximity to destination resources
C) Gateway geo IP mapping
D) Proximity to users

4. 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 SaaS platform to ingest telemetry from both environments without requiring local enforcement points
C) AI Security Posture Management (AI-SPM) scanner to connect to both on-premises and cloud environments to scan for misconfigurations
D) Prisma AIRS Network Intercept deployed as security virtual appliances in both environments

5. A global organization is in the process of securing critical applications during a cloud-based migration while migrating to a cloud-first design, and it is currently performing a brownfield migration of its most critical applications - such as CRM and product intellectual property / design systems - into Azure Cloud. The organization already has an active/passive high availability (HA) NGFW deployed at its data center with multiple zones and has replicated that design into its existing Azure HA deployment.
The organization recognizes the need to modernize its security posture as critical workloads move out of the data center and users connect from anywhere. Its security model is defined by a traditional "hard shell, soft center" approach:
Zero Trust Gaps
- Current network segmentation is perimeter-based. The organization wants to expand Zero Trust principles across cloud and on-premises environments.
- The network relies heavily on VLANs and IP address-based Access Control Lists (ACLs) segmented primarily by office location and broad departmental groups.
- Once employees are on the corporate network (i.e., inside the "perimeter"), they have relatively wide access.
- If attackers compromise a single endpoint (e.g., via a phishing email), they can easily move laterally and scan for high-value targets.
Cloud Blind Spots
- The organization uses Azure for its production environments and hosts applications that contain sensitive customer data.
- Security controls in the cloud are often managed independently of the on-premises network.
Access is frequently granted with overly permissive identity and access management (IAM) roles and keys based on the resource rather than the user's real-time context or application health.
Remote User Access
- Many remote users are still hairpinning into the corporate data center just to reach internet or SaaS resources, creating latency and inefficiency.
- Traditional VPN is used for remote employees.
- The VPN grants access to the entire internal network segment making the remote endpoint the new, weaker perimeter. There is no continuous check on the user's device health after the initial connection.
Visibility and Logging
- Logs are primarily stored on-premises, then forwarded to a local Security Information and Event Management (SIEM) solution. As applications move to Azure, visibility into cloud traffic and user behavior becomes fragmented.
Data Security Concern
- Sensitive data, including product design files, will now live in SaaS and cloud environments. The organization needs data security to prevent leakage and enforce compliance.
Ingress Security
- Third-party partners and suppliers require access into the data center and cloud applications, introducing risk at ingress points.
The current Microsoft Azure NGFW architecture will not support the increased traffic with the new applications being migrated.
Which architectural solution will provide scalable inspection?

A) Maintain the Azure active/passive design and use Azure scale sets to vertically scale the firewall size to handle all current and anticipated future east-west traffic.
B) Keep the active/passive firewall only for north-south traffic and rely entirely on Azure Network Security Groups (NSGs) for east-west traffic inspection.
C) Migrate to a load balancer-based autoscaling firewall cluster that uses User-Defined Routes (UDRs) to traffic to multiple concurrent firewall instances for inspection.
D) Decommission the firewall pair and use a multi-region deployment of Azure VPN gateways to manage VNet-to-VNet connections.

Solutions: