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| Section | Objectives |
|---|---|
| Log Collection and Monitoring Architecture | - Monitoring and Troubleshooting
|
| Third-Party Integration and Automation | - Security Automation
|
| Zero Trust Network Security Design | - Zero Trust Architecture Principles
|
| Cloud and Hybrid Security Architecture | - Prisma Browser and Device-ID
|
| Network Security Platform Architecture | - Systems Management and Hardware
|
| IoT and Endpoint Security Architecture | - IoT Security
|
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質問 # 44
The network security architect leading a Zero Trust migration has successfully completed identifying and classifying all mission-critical Data, Applications, Assets, and Services (DAAS).
The architect must now gather the necessary data to inform the technical design of the micro- perimeters and the placement of the VM-Series virtual firewalls in Azure. According to the Palo Alto Networks Zero Trust implementation methodology, what is the mandatory next step to gather the necessary data for designing the segmentation and the placement of security controls?
正解：C
解説：
After identifying and classifying the protect surface (DAAS), the next mandatory step in the Zero Trust methodology is to map the transaction flows. This step captures how data, applications, assets, and services communicate, which directly informs how micro-perimeters should be designed and where VM-Series firewalls must be placed to enforce segmentation and control traffic effectively.
質問 # 45
An organization with offices throughout the world has an SD-WAN solution in which all traffic is backhauled to a central set of data centers. Many of the offices have IoT / OT devices. Which IoT Security requirement must be taken into consideration by the security architect when determining which Zero Trust network solution will help this organization evolve its security architecture?
正解：A
解説：
Accurate IoT/OT detection requires direct visibility into local network traffic where devices communicate. This is achieved when a Prisma SD-WAN ION or a Next-Generation Firewall is deployed at the site, enabling proper device identification and profiling based on observed traffic and network behavior.
質問 # 46
An organization has a directive to adopt a Zero Trust framework focused on using identity and role-based access groups, device security and content inspection across all Security policies. To achieve this goal, an Enterprise License Agreement (ELA) was purchased, including Advanced Threat Prevention, IoT Security, and GlobalProtect.
The current security architecture uses Panorama to manage 60 NGFWs - a mix of PA-3240, PA-1410, and PA-440. Sites with PA-3240s host private application resources in the trust data center zone All sites have an untrust zone for internet access and a users zone for managed and unmanaged endpoint devices. A transit mesh zone exists to establish site-to-site connectivity through PAN-OS SD-WAN.
Privately hosted applications include web servers, SMB and NFS file servers and hosted Active Directory. The organization is in the process of adopting group mapping restrictions to these private applications, with daily additions of groups. It is also planning to build AI applications to assist the data teams with complex queries that will be hosted in the large offices containing data centers and is exploring hosting in the public cloud.
The organization uses on-premises Exchange, Dropbox, Zoom, and ChatGPT. There are a number of shadow SaaS applications that require further investigation. Users have been using Google Drive to upload confidential files within the organization by using their personal logins.
IoT devices on the network are associated on their own VLAN on the users zone. Using Device Security, all IoT devices have been categorized by asset profiles with medium or high confidence, policy sets imported into Panorama, and a default deny applied to the IoT networks.
The organization has rolled out SSL decryption and is using URL categorization for the majority of content filtering. Malicious categories, unknown and high-risk websites are blocked, with the remainder of sites set to alert.
Which action should the architect recommend to restrict the confidential file exfiltration present in the organization's environment using existing technology?
正解：D
解説：
App-ID can identify the specific Google Drive upload function and allow the architect to block file uploads directly with an existing NGFW security policy. Because the organization already has SSL decryption in place, the firewall can accurately see and control this application behavior, making it the most appropriate way to stop confidential file exfiltration using the technology already deployed.
質問 # 47
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.
In which two ways should the organization architect for isolation of IoT with groupings based on the device types? (Choose two.)
正解：A、B
解説：
Device-ID enables identification and classification of IoT devices based on attributes such as device type, allowing policy enforcement specific to those device categories. Dynamic address groups allow automatic grouping of devices based on tags or attributes, enabling scalable segmentation and isolation aligned with device type and function without manual updates.
質問 # 48
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.)
正解：C、D
解説：
Network Intercept provides inline visibility and control of AI traffic across multicloud environments, enabling consistent infrastructure-level protection regardless of where agents are deployed. API Intercept complements this by acting at the application layer, scanning prompts and responses and embedding security controls directly into AI workflows, ensuring protection before interactions reach the model.
質問 # 49
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