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Palo Alto Networks NetSec-Architect 試験シラバストピック:

Palo Alto Networks Network Security Architect 認定 NetSec-Architect 試験問題：

1. 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 statement applies in the context of securing the developers' applications?

A) Mobile users, remote networks, and explicit proxy all provide the same Cloud-Delivered Security Services (CDSS) capabilities.
B) Explicit proxy on ramps can only provide security for HTTP, HTTPS, and proxy-aware applications
C) GlobalProtect mobile users and explicit proxy users share the same configuration scope for policy configuration
D) ZTNA Connector requires DNS for all applications it publishes and does not permit direct IP address-based access

2. A firewall must block known vulnerabilities and exploits in real time. Which security profile is MOST relevant?

A) WildFire
B) URL Filtering
C) Vulnerability Protection
D) DNS Security

3. 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?

A) Strata Logging Service for cloud storage of the security logs and device telemetry
B) GlobalProtect agent to collect device posture and to locally log all critical CVE scores
C) Panorama log collector using its local database with a 90-day retention policy
D) NGFW's session table, which is encrypted with the master key

4. 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 deployment method should the architect suggest for enabling User-ID based rules, restricting or allowing access as close to the source as possible, while minimizing operational overhead?

A) Cloud Identity agent to sync user groups to the Cloud Identity Engine and the firewalls
B) Cloud Directory via SCIM to sync user groups to the Cloud Identity Engine and the firewalls
C) Panorama device template with a group mapping profile with group allow list to reduce group update time on the firewalls
D) Panorama device template for data redistribution, referencing primary and secondary Panoramas as the User-ID agent

5. 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?

A) Rely on existing perimeter firewalls and VPN concentrators applying standard URL filtering and data loss prevention (DLP) policies for AI traffic
B) Segment network zones within each data center to isolate AI workloads from critical IP address repositories and monitor east-west traffic
C) Deploy a cloud-delivered security platform with AI-aware controls integrated with identity and device posture
D) Block external GenAI applications at the firewall and empower employees to use internally developed AI applications.

質問と回答：