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Cisco 300-640 Exam Syllabus Topics:

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

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q63-Q68):

                                  NEW QUESTION # 63
                                  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: D

                                  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 # 64
                                  A Cisco Nexus switch experiences head-of-line blocking in an RDMA environment. Which mechanism is most effective in reducing this condition?

                                  Answer: A

                                  Explanation:
                                  Virtual output queuing (VOQ) prevents packets destined for congested outputs from blocking unrelated traffic flows. This is valuable in AI infrastructures where high-bandwidth GPU traffic can overwhelm buffers. WRED manages congestion probabilistically but does not eliminate head-of- line blocking. PortFast and NAT overload are unrelated features.


                                  NEW QUESTION # 65
                                  An end customer plans to deploy an AI fabric in a new data center. Their engineers are more familiar with CLI-based networks and require the capability to automate standardized configuration templates and monitor flows for the fabric. Which data center automation tool meets the requirements?

                                  Answer: C

                                  Explanation:
                                  Nexus Dashboard is the Cisco data center automation and operations platform used with Nexus fabrics. It supports standardized fabric configuration through automation templates and provides visibility features such as flow monitoring, making it the appropriate tool for engineers who need CLI-oriented data center fabric operations with automation and telemetry.


                                  NEW QUESTION # 66
                                  Which components are part of the HyperFabric AI solution?

                                  Answer: B

                                  Explanation:
                                  HyperFabric AI combines Cisco UCS servers with NVIDIA GPUs, Cisco Nexus 6000 Series switches, optional VAST Data storage, and cloud-managed networking to provide an integrated AI infrastructure solution for training and inference workloads.


                                  NEW QUESTION # 67
                                  An engineer must configure dynamic load balancing (DLB) on a Cisco Nexus 9000 Series Switch AI fabric using a CLI. Which configuration must be implemented for only the odd-numbered interfaces?

                                  Answer: D

                                  Explanation:
                                  Dynamic load balancing is enabled on the selected Cisco Nexus 9000 interfaces by applying the interface-level dlb-interface command. For this deployment requirement, the command is applied only to the odd-numbered interfaces that participate in the DLB configuration.


                                  NEW QUESTION # 68
                                  ......

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