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| Section | Weight | Objectives |
|---|---|---|
| Automation and Orchestration | 10% | - Infrastructure as Code and security orchestration - Integration with third-party tools and workflows - API and automation framework design |
| Mobile User Security | 7% | - Prisma Browser and agent-based access - Explicit proxy and remote access design - GlobalProtect connection methods and deployment |
| 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% | - Application access control design - Continuous threat prevention and monitoring - User-ID, Device-ID, HIP and security posture design - Network segmentation and microsegmentation design |
| Centralized Management and IAM | 13% | - Directory sync and authentication methods - Strata Cloud Manager, Logging Service and Cloud Identity Engine design - Panorama and log collector architecture |
| Cloud Security Architecture | 12% | - Multi-cloud and hybrid security design - Workload protection and cloud network security - Prisma Cloud and public cloud integration |
| AI Security | 11% | - AI application classification and security controls - Prisma AI Runtime Security and AI Access architecture - AI security framework and compliance |
| Compliance and Risk Management | 8% | - Industry compliance frameworks (NIST, GDPR, PCI, HIPAA) - Risk assessment and security governance - Audit and reporting architecture |
| High Availability and Resilience | 9% | - Platform HA and redundancy design - Scalability and performance optimization - Failover and disaster recovery planning |
| IoT and OT Security | 11% | - IoT segmentation and visibility architecture - OT security and industrial protocol protection - Device onboarding and lifecycle security |
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NEW QUESTION # 41
A global organization is in the process of securing critical applications during a cloud-based migration while migrating to a cloud-first design, and it is currently performing a brownfield migration of its most critical applications - such as CRM and product intellectual property / design systems - into Azure Cloud. The organization already has an active/passive high availability (HA) NGFW deployed at its data center with multiple zones and has replicated that design into its existing Azure HA deployment.
The organization recognizes the need to modernize its security posture as critical workloads move out of the data center and users connect from anywhere. Its security model is defined by a traditional "hard shell, soft center" approach:
Zero Trust Gaps
- Current network segmentation is perimeter-based. The organization wants to expand Zero Trust principles across cloud and on-premises environments.
- The network relies heavily on VLANs and IP address-based Access Control Lists (ACLs) segmented primarily by office location and broad departmental groups.
- Once employees are on the corporate network (i.e., inside the "perimeter"), they have relatively wide access.
- If attackers compromise a single endpoint (e.g., via a phishing email), they can easily move laterally and scan for high-value targets.
Cloud Blind Spots
- The organization uses Azure for its production environments and hosts applications that contain sensitive customer data.
- Security controls in the cloud are often managed independently of the on-premises network.
Access is frequently granted with overly permissive identity and access management (IAM) roles and keys based on the resource rather than the user's real-time context or application health.
Remote User Access
- Many remote users are still hairpinning into the corporate data center just to reach internet or SaaS resources, creating latency and inefficiency.
- Traditional VPN is used for remote employees.
- The VPN grants access to the entire internal network segment making the remote endpoint the new, weaker perimeter. There is no continuous check on the user's device health after the initial connection.
Visibility and Logging
- Logs are primarily stored on-premises, then forwarded to a local Security Information and Event Management (SIEM) solution. As applications move to Azure, visibility into cloud traffic and user behavior becomes fragmented.
Data Security Concern
- Sensitive data, including product design files, will now live in SaaS and cloud environments. The organization needs data security to prevent leakage and enforce compliance.
Ingress Security
- Third-party partners and suppliers require access into the data center and cloud applications, introducing risk at ingress points.
The organization needs to ensure data security and prevent the leakage of sensitive product design files since it is migrating to SaaS and cloud environments.
How would implementing a Next-Generation CASB (CASB-X) capability address the concerns in the scenario?
Answer: C
Explanation:
Next-Generation CASB (CASB-X) provides integrated data protection by applying DLP controls to both data-at-rest and data-in-transit within sanctioned SaaS and cloud applications. This enables the organization to identify, monitor, and prevent leakage of sensitive product design files as they move to cloud and SaaS environments, directly addressing the data security concern.
NEW QUESTION # 42
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 off-ramp should an architect recommend to meet the requirements of the organization?
Answer: C
Explanation:
Colo-Connect provides high-throughput, private connectivity between Prisma Access and on- premises or data center environments, supporting multi-gigabit requirements (scaling beyond 1 Gbps toward 5 Gbps). It is designed for large-scale, high-performance environments and supports segmentation and secure access without requiring immediate re-IP, making it the best fit for this scenario.
NEW QUESTION # 43
An organization is in the process of building a network infrastructure that is cloud first. Part of the revised architecture includes Prisma Access as demonstrated in the diagram below. The organization has selected Strata Cloud Manager (SCM) as the management method for Prisma Access and NGFWs deployed at the data center and in public cloud environments. There are 150 NGFWs in place that are used to terminate service connections and segment networks as well as to secure the data center and public cloud resources.
One of the resilience requirements is to provide highly available directory services and authentication for the NGFW and Prisma Access deployment.
The organization wants to be able to track Prisma Access users on the on-premises firewalls and remote networks.
Which configuration meets the design and organization requirements?
Answer: D
Explanation:
Panorama distributes user-to-IP mapping information to on-premises firewalls through User-ID redistribution, while Prisma Access remote networks obtain user context from the Cloud Identity Engine. This combination ensures consistent and highly available user visibility across both on- premises NGFWs and Prisma Access environments.
NEW QUESTION # 44
Which custom component can mitigate the risk associated with an organization's sales staff filling out a customer intake PDF form that contains corporate confidential information?
Answer: D
Explanation:
Trainable classifiers can identify sensitive document types based on content patterns rather than static attributes, allowing the system to detect and control PDFs containing confidential information even when file names, hashes, or structures change. This enables consistent protection of sensitive data within customer intake forms.
NEW QUESTION # 45
A retail organization wants to sanction the use of a particular third-party SaaS-based AI application for inventory management. This application will need network layer data access to the organization's internal supply chain database with confidential information highly secured in its own DMZ. The implementation is delayed because the CISO is concerned that the sanctioned third-party AI application could get compromised and then used to exfiltrate customer PH from the internal database. Which solution will address the CISO's concern?
Answer: C
Explanation:
Enterprise DLP integrated with AI Access Security inspects traffic to and from the SaaS application and can detect sensitive data such as customer PII. It enforces policies to prevent exfiltration even if the application is compromised, allowing the organization to safely sanction the AI application while protecting confidential data.
NEW QUESTION # 46
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