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| Section | Weight | Objectives |
|---|---|---|
| IoT and OT Security | 11% | - Device onboarding and lifecycle security - IoT segmentation and visibility architecture - OT security and industrial protocol protection |
| Automation and Orchestration | 10% | - Integration with third-party tools and workflows - Infrastructure as Code and security orchestration - API and automation framework design |
| Cloud Security Architecture | 12% | - Multi-cloud and hybrid security design - Prisma Cloud and public cloud integration - Workload protection and cloud network security |
| Zero Trust Enterprise | 8% | - Network segmentation and microsegmentation design - Application access control design - Continuous threat prevention and monitoring - User-ID, Device-ID, HIP and security posture design |
| Mobile User Security | 7% | - GlobalProtect connection methods and deployment - Prisma Browser and agent-based access - Explicit proxy and remote access design |
| High Availability and Resilience | 9% | - Platform HA and redundancy design - Scalability and performance optimization - Failover and disaster recovery planning |
| Centralized Management and IAM | 13% | - Panorama and log collector architecture - Directory sync and authentication methods - Strata Cloud Manager, Logging Service and Cloud Identity Engine design |
| Compliance and Risk Management | 8% | - Risk assessment and security governance - Industry compliance frameworks (NIST, GDPR, PCI, HIPAA) - Audit and reporting architecture |
| AI Security | 11% | - AI application classification and security controls - Prisma AI Runtime Security and AI Access architecture - AI security framework and compliance |
| SSE Private Application Access | 11% | - Private access and connector architecture - Prisma Access global and regional deployment design - Colo-Connect and cloud connectivity design |
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NEW QUESTION # 62
An enterprise deploys Palo Alto NGFWs across multiple regions. They require consistent security policy enforcement and centralized management while minimizing configuration drift. Which solution should be implemented?
Answer: B
Explanation:
Panorama provides centralized management of policies and configurations across multiple firewalls. Device groups allow consistent policy enforcement, while templates manage network and system settings. This reduces configuration drift and operational overhead compared to manual or decentralized approaches.
NEW QUESTION # 63
A network experiences encrypted threats bypassing inspection. What is the BEST mitigation?
Answer: A
Explanation:
SSL decryption allows inspection of encrypted traffic, revealing hidden threats. Blocking HTTPS is impractical, and disabling logging or adjusting routing does not address encrypted threat visibility.
NEW QUESTION # 64
A global manufacturing organization has a strategic plan for rapid growth through mergers and acquisitions Several components the organization has purchased are deemed large deployments with existing IP address schemas and allocations that conflict with the parent organization. The manufacturing organization needs access to the resources before a re-IP initiative can be completed.
All of the deployments include a variety of IoT devices Leadership requires protection of vulnerable assets and identification of any known CVEs associated with the IoT devices. The governance, risk and compliance (GRC) team requires comprehensive non-repudiable logs to identify all IoT devices reporting "Critical (9 0+) CVE scores" for mandatory remediation.
Throughput needs to exceed the current 1 Gbps trending rate, and with expected growth will soon scale to 5 Gbps.
Segmentation is a mandatory requirement with enclaves based on region, device type, and function.
Which architectural component ensures the IoT storage, integrity, and non-repudiation of this granular risk data for auditing purposes?
Answer: D
Explanation:
Strata Logging Service provides centralized, cloud-based log storage with integrity and non- repudiation guarantees, ensuring that IoT telemetry and security logs are preserved for auditing.
It scales to handle high throughput environments and supports long-term retention and analysis, which is required for tracking devices with critical CVE scores across large, distributed deployments.
NEW QUESTION # 65
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 # 66
You need to decrypt SSL traffic for inspection while ensuring compliance with privacy regulations.
What should you configure?
Answer: C
Explanation:
Selective SSL decryption allows inspection of relevant traffic while excluding sensitive or regulated content, ensuring compliance. Decrypting all traffic may violate privacy laws, while disabling decryption reduces visibility into encrypted threats.
NEW QUESTION # 67
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