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| Section | Weight | Objectives |
|---|---|---|
| Automation and Orchestration | 10% | - API and automation framework design - Integration with third-party tools and workflows - Infrastructure as Code and security orchestration |
| Compliance and Risk Management | 8% | - Risk assessment and security governance - Audit and reporting architecture - Industry compliance frameworks (NIST, GDPR, PCI, HIPAA) |
| Centralized Management and IAM | 13% | - Strata Cloud Manager, Logging Service and Cloud Identity Engine design - Directory sync and authentication methods - Panorama and log collector architecture |
| Zero Trust Enterprise | 8% | - Continuous threat prevention and monitoring - Network segmentation and microsegmentation design - Application access control design - User-ID, Device-ID, HIP and security posture design |
| SSE Private Application Access | 11% | - Prisma Access global and regional deployment design - Private access and connector architecture - Colo-Connect and cloud connectivity design |
| AI Security | 11% | - Prisma AI Runtime Security and AI Access architecture - AI application classification and security controls - AI security framework and compliance |
| Mobile User Security | 7% | - Explicit proxy and remote access design - GlobalProtect connection methods and deployment - Prisma Browser and agent-based access |
| Cloud Security Architecture | 12% | - Multi-cloud and hybrid security design - Prisma Cloud and public cloud integration - Workload protection and cloud network security |
| High Availability and Resilience | 9% | - Failover and disaster recovery planning - Scalability and performance optimization - Platform HA and redundancy design |
| IoT and OT Security | 11% | - IoT segmentation and visibility architecture - OT security and industrial protocol protection - Device onboarding and lifecycle security |
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NEW QUESTION # 25
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?
Answer: B
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 # 26
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.)
Answer: A,C
NEW QUESTION # 27
A global organization has fully adopted Prisma Access to provide security for its mobile workforce and remote offices, and user identity is managed in Okta. The security team wants to create consistent Security policies that grant access to specific SaaS applications based on a users' departments, regardless of whether they work from home or a from branch office connected via an SD-WAN device. Which architecture ensures that consistent user-to-group mapping is available to Prisma Access for policy enforcement in this use case?
Answer: D
Explanation:
Panorama-managed Prisma Access integrates with Cloud Identity Engine to retrieve user and group information for both mobile users and remote networks, which allows consistent user-to- group mapping across work-from-home users and branch offices. Cloud Identity Engine supports Okta as the identity source, so department-based group membership from Okta can be used centrally for Prisma Access policy enforcement.
NEW QUESTION # 28
An IoT sensor should be deployed in the path between the IoT device and which infrastructure component for comprehensive profiling coverage?
Answer: D
Explanation:
DHCP traffic provides critical device-identifying attributes such as MAC address, hostname, vendor class identifier, and IP address assignment, which are essential for accurate IoT device profiling. Placing the IoT sensor in the path between the device and the DHCP server ensures comprehensive visibility during initial network onboarding, enabling reliable identification and classification.
NEW QUESTION # 29
A company experiences lateral movement attacks within the internal network. Which feature helps mitigate this risk?
Answer: C
Explanation:
Internal segmentation using NGFWs enforces security policies between internal zones, limiting lateral movement. This approach applies inspection and access control within the network, unlike NAT or routing, which do not provide security enforcement.
NEW QUESTION # 30
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