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Cisco 300-640 Exam Syllabus Topics:

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

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q46-Q51):

                                  NEW QUESTION # 46
                                  A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment. Which Cisco solution meets the requirements?

                                  Answer: C

                                  Explanation:
                                  Cisco HyperFabric AI Small AI Cluster matches the 96-GPU requirement because the validated HyperFabric reference architecture uses 12 Cisco UCS C885A M8 servers with NVIDIA HGX for a total of 96 GPUs. Cisco Nexus HyperFabric is also cloud-managed and compliant with NVIDIA Enterprise Reference Architecture, enabling centralized management of the on-premises AI network, GPU servers, and storage.


                                  NEW QUESTION # 47
                                  Refer to the exhibit. Users report delayed response times and network latency when running certain AI workloads on a specific Cisco UCS Intersight Managed Mode Domain. Based on the fault message and reported symptoms, which troubleshooting action must be taken first to address the network latency issues?

                                  Answer: B

                                  Explanation:
                                  The fault shows a receive error statistics threshold crossing on switch B port 11. Because receive errors on a physical interface commonly indicate cabling, transceiver, or physical-layer issues, the first troubleshooting step is to inspect the physical connection and SFP+ components on the affected port before investigating workload or higher-layer configuration.


                                  NEW QUESTION # 48
                                  Which IP-based storage transport supports flow control between directly connected devices?

                                  Answer: A

                                  Explanation:
                                  NVMe/RoCE uses RDMA over Converged Ethernet and relies on lossless Ethernet behavior, including priority-based flow control between directly connected devices. This makes it suitable for high-performance AI storage traffic that needs low latency and minimal packet loss.


                                  NEW QUESTION # 49
                                  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?

                                  Answer: C

                                  Explanation:
                                  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.


                                  NEW QUESTION # 50
                                  A Cisco AI cluster requires segmentation between multiple research teams sharing the same physical infrastructure. Which solution provides scalable tenant isolation?

                                  Answer: D

                                  Explanation:
                                  VXLAN overlays provide scalable multi-tenant segmentation using large VNI spaces beyond traditional VLAN limitations. AI infrastructures often support many isolated environments simultaneously. VLAN-only designs have scalability constraints, while WAN topologies and NAT do not provide modern data center tenant segmentation.


                                  NEW QUESTION # 51
                                  ......

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