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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Security and Governance in AI Data Centers- Infrastructure security
  • 1. Secure access to AI workloads
    • 2. Network segmentation and policy enforcement
      Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
      • 1. Data pipeline and workload characteristics
        • 2. Compute, GPU, and acceleration concepts
          Compute and Storage for AI Infrastructure- Compute architecture
          • 1. HPC-style scaling considerations
            • 2. GPU-based compute nodes
              - Storage systems
              • 1. Distributed storage concepts
                • 2. High-throughput storage for AI training data
                  AI Infrastructure Deployment and Operations- Operations and lifecycle management
                  • 1. Monitoring and observability
                    • 2. Performance tuning and optimization
                      - Deployment models
                      • 1. On-premises AI clusters
                        • 2. Hybrid AI infrastructure integration
                          Data Center Networking for AI Workloads- High-performance fabric design
                          • 1. Leaf-spine architecture in AI environments
                            • 2. Low-latency switching and routing considerations
                              - Cisco Data Center networking technologies
                              • 1. Cisco Nexus platform concepts
                                • 2. Cisco ACI integration concepts

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                                  300-640 Prüfungsfragen, 300-640 Fragen und Antworten, Implementing Cisco Data Center AI Infrastructure

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                                  Cisco Implementing Cisco Data Center AI Infrastructure 300-640 Prüfungsfragen mit Lösungen (Q75-Q80):

                                  75. Frage
                                  A corporate network administrator manages a HyperFabric AI environment and wants to receive email notifications about assertions in the fabric. The administrator sets up a recipient email endpoint under the notification endpoints in the controller, but notifications are not received.
                                  Which two configurations cause the issue? (Choose two.)

                                  Antwort: B,E

                                  Begründung:
                                  Email endpoints must be verified before they can receive HyperFabric notifications, and the endpoint must also be included with the relevant fabric in the notification policy. Creating the email endpoint alone does not activate assertion notifications for a fabric until both of these notification requirements are completed.


                                  76. Frage
                                  A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
                                  - high availability of the chassis management plane.
                                  - support for up to 768 GB of memory for in-memory model storage and
                                  processing
                                  - remote server launch requiring no on-site IT staff
                                  - use of Cisco Intersight for SaaS-based infrastructure lifecycle
                                  management
                                  Which solution meets the requirements?

                                  Antwort: D


                                  77. Frage
                                  A large-scale retail store manages many compute resources spread across branch offices, which enables AI workloads to be processed on-premises. Each workload and site location requires specific OS installation and configuration. To simplify management, configuration, and deployment of the workloads, a Cisco Intersight feature must be used that enables workload deployment at scale. Which feature must be used to accomplish this functionality?

                                  Antwort: B

                                  Begründung:
                                  Fleet management in Cisco Intersight is used to manage and deploy workloads consistently across many distributed compute resources. It supports scalable operations such as OS installation, configuration, and policy-driven deployment across multiple servers and locations, making it the correct feature for large distributed AI workload environments.


                                  78. Frage
                                  A national law firm is deploying a RAG solution for their legal research team to more efficiently use their 50 TB of confidential data and documents when preparing new contracts and briefs.
                                  They decided on a UCS X-Series chassis equipped with four GPUs and six X210c servers. Which storage solution fits this deployment?

                                  Antwort: D

                                  Begründung:
                                  A RAG deployment with 50 TB of confidential documents requires scalable shared storage that can be accessed by multiple UCS X210c servers. An IP-based storage array provides centralized capacity, shared access, and operational simplicity for storing and retrieving large datasets used by the RAG pipeline.


                                  79. Frage
                                  When considering a rail-only network design, when would adding spine switches make sense?

                                  Antwort: B

                                  Begründung:
                                  In a rail-only design, each scalable unit provides optimized east-west GPU communication within that unit. Spine switches are added when the design must scale beyond a single scalable unit and support traffic between multiple scalable units while preserving predictable performance for larger AI training environments.


                                  80. Frage
                                  ......

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