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| Section | Weight | Objectives |
|---|---|---|
| High Availability and Resilience | 9% | - Scalability and performance optimization - Failover and disaster recovery planning - Platform HA and redundancy design |
| Cloud Security Architecture | 12% | - Workload protection and cloud network security - Prisma Cloud and public cloud integration - Multi-cloud and hybrid security design |
| Centralized Management and IAM | 13% | - Panorama and log collector architecture - Strata Cloud Manager, Logging Service and Cloud Identity Engine design - Directory sync and authentication methods |
| Mobile User Security | 7% | - Explicit proxy and remote access design - GlobalProtect connection methods and deployment - Prisma Browser and agent-based access |
| IoT and OT Security | 11% | - IoT segmentation and visibility architecture - OT security and industrial protocol protection - Device onboarding and lifecycle security |
| SSE Private Application Access | 11% | - Colo-Connect and cloud connectivity design - Private access and connector architecture - Prisma Access global and regional deployment design |
| Zero Trust Enterprise | 8% | - User-ID, Device-ID, HIP and security posture design - Application access control design - Network segmentation and microsegmentation design - Continuous threat prevention and monitoring |
| AI Security | 11% | - AI security framework and compliance - Prisma AI Runtime Security and AI Access architecture - AI application classification and security controls |
| Automation and Orchestration | 10% | - Infrastructure as Code and security orchestration - API and automation framework design - Integration with third-party tools and workflows |
| Compliance and Risk Management | 8% | - Risk assessment and security governance - Audit and reporting architecture - Industry compliance frameworks (NIST, GDPR, PCI, HIPAA) |
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NEW QUESTION # 44
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 enforcement solution can the CISO recommend to control GenAI data exfiltration?
Answer: C
Explanation:
AI Access Security is designed to control and govern user interactions with external GenAI applications, including inspecting prompts and responses and applying DLP policies to prevent sensitive data exfiltration. It provides inline enforcement for SaaS-based AI usage across distributed users, which directly addresses the risk of confidential data being exposed through third-party GenAI tools.
NEW QUESTION # 45
A company needs to securely enable SaaS application usage while preventing data exfiltration.
The solution must provide visibility into application traffic and enforce granular controls. What should be used?
Answer: D
Explanation:
App-ID identifies applications regardless of port or protocol, while Data Filtering prevents sensitive data exfiltration. This combination provides both visibility and control. URL filtering alone cannot inspect application-layer data deeply enough to enforce data protection requirements.
NEW QUESTION # 46
An architect is designing a security solution for a large AWS environment with numerous application virtual private clouds (VPCs). These applications have diverse and sometimes conflicting inbound security requirements, making a single, unified ruleset challenging to create and maintain. The solution must secure inbound traffic for different application groups while also centrally securing all outbound and east-west traffic via an AWS Transit Gateway. Which design model recommendation will simplify rule complexity for inbound traffic while meeting all security requirements?
Answer: A
Explanation:
A combined model is designed for environments where inbound requirements differ across application groups. It uses dedicated inbound firewalls for those logical application groups, which keeps inbound policy sets simpler and easier to manage, while a central NGFW tied to the Transit Gateway secures outbound and east-west traffic centrally. Palo Alto Networks documents this combined deployment pattern specifically as using inbound security at the application VPC side and the transit gateway as the hub for east-west and outbound security.
NEW QUESTION # 47
You must protect against command-and-control traffic using DNS tunneling. Which feature helps MOST?
Answer: A
Explanation:
DNS Security detects malicious DNS patterns, including tunneling and C2 communication. It provides advanced analytics beyond simple URL filtering.
NEW QUESTION # 48
An organization is building a cloud-first network infrastructure. The revised architecture includes Prisma Access, as shown below. The organization has chosen Strata Cloud Manager (SCM) to manage Prisma Access and NGFWs deployed in the data center and public-cloud environments. There are 150 NGFWs that terminate service connections, segment networks, and secure data-center and public-cloud resources.
A resilience requirement is to provide highly available directory services and authentication for the NGFW and Prisma Access deployment.
Which two configurations satisfy the design and customer requirements in this scenario? (Choose two.)
Answer: A,D
Explanation:
Comprehensive and Detailed Explanation From Palo Alto Networks Network Security Architect:
To achieve high availability and low latency across a distributed enterprise of 150 NGFWs and a global Prisma Access deployment, directory synchronization and authentication mechanisms must eliminate dependencies on point-to-point on-premises connections.
Connecting both the firewalls and Prisma Access to the Palo Alto Networks Cloud Identity Engine (CIE) with native integration to Microsoft Entra ID provides cloud-native, highly available Directory Sync. CIE synchronizes users and groups from Entra ID via SCIM/Graph APIs into a resilient, globally distributed directory caching service. Both on-premises NGFWs and Prisma Access consume these group mappings directly from CIE without generating LDAP queries across private links.
Configuring SAML 2.0 authentication for GlobalProtect mobile users allows authentication requests to be federated directly to an IdP (such as Entra ID). SAML authentication supports conditional access, MFA, and SSO natively in the cloud, removing authentication dependencies from on-premises RADIUS or Active Directory domain controllers and providing continuous service availability during WAN outages.
References: Palo Alto Networks Cloud Identity Engine (CIE) Deployment Guide; SASE Authentication Architecture with SAML and Entra ID.
NEW QUESTION # 49
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