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| Section | Objectives |
|---|---|
| SASE and Secure Access Design | - Prisma Access architecture - Remote access security architecture - SD-WAN integration and design considerations |
| Threat Prevention and Security Services | - Threat prevention design (IPS, anti-malware, URL filtering) - Application identification and policy enforcement - Decryption and SSL inspection architecture |
| Palo Alto Networks Platform Architecture | - Panorama centralized management design - Next-Generation Firewall (NGFW) architecture and capabilities - Logging, monitoring, and visibility architecture |
| Automation and Integration | - API-based automation and orchestration - Infrastructure as Code security integration - Integration with SIEM and SOAR platforms |
| Network Security Architecture Principles | - Zero Trust architecture concepts - Security architecture frameworks and design principles - Risk assessment and security requirements mapping |
| Cloud Security Architecture | - Cloud network security design (AWS, Azure, GCP) - Prisma Cloud security architecture concepts - Container and workload protection architecture |
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NEW QUESTION # 16
A security architect must design a Zero Trust architecture using Palo Alto solutions. Which principle is MOST critical?
Answer: B
Explanation:
Zero Trust requires continuous verification of all users and traffic, regardless of location. Palo Alto NGFW supports this with App-ID, User-ID, and content inspection. Trusting internal networks or allowing unrestricted outbound traffic contradicts Zero Trust principles.
NEW QUESTION # 17
Which factor must be taken into consideration when determining whether an NGFW edge architecture or a SASE architecture is appropriate to recommend to a customer planning to implement a Zero Trust Network Access (ZTNA) solution?
Answer: B
Explanation:
Zero Trust Network Access is a security approach that can be implemented using either traditional NGFW-based architectures or SASE solutions. The key consideration is how identity, policy enforcement, and segmentation are applied, not the deployment model itself, since both architectures are capable of supporting ZTNA principles.
NEW QUESTION # 18
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: A
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 # 19
A network experiences encrypted threats bypassing inspection. What is the BEST mitigation?
Answer: B
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 # 20
An IoT sensor should be deployed in the path between the IoT device and which infrastructure component for comprehensive profiling coverage?
Answer: B
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 # 21
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