Cisco 300-640 Practice Test & Valid 300-640 Test Objectives

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
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- Cisco Data Center networking technologies
          • 1. Cisco ACI integration concepts
            • 2. Cisco Nexus platform concepts
              - High-performance fabric design
              • 1. Leaf-spine architecture in AI environments
                • 2. Low-latency switching and routing considerations
                  Compute and Storage for AI Infrastructure- Compute architecture
                  • 1. GPU-based compute nodes
                    • 2. HPC-style scaling considerations
                      - Storage systems
                      • 1. High-throughput storage for AI training data
                        • 2. Distributed storage concepts
                          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

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q32-Q37):

                                  NEW QUESTION # 32
                                  To support growing AI workload requirements, a regional medical practice is adding new X9516 X-Fabric module, UCS PCI Mezz cards, and UCS X580p PCIe nodes to their existing X-Series chassis. Which two administrative actions must be taken before the X-Fabric module is added to the chassis? (Choose two.)

                                  Answer: B,E

                                  Explanation:
                                  Before adding the X9516 X-Fabric module, the affected X-Series blades must be powered down because the X-Fabric connectivity path requires hardware installation and cannot be safely introduced while the connected compute nodes are running. The UCS PCI Mezzanine cards must also be installed in the blades so they can physically connect through the X-Fabric module to the X580p PCIe nodes for GPU expansion.


                                  NEW QUESTION # 33
                                  A data center operator configures telemetry streaming on Cisco Nexus switches. What is the primary operational advantage over traditional SNMP polling?

                                  Answer: D

                                  Explanation:
                                  Streaming telemetry continuously exports operational data in near real time, improving visibility and reducing polling overhead compared to SNMP. AI infrastructures require rapid monitoring of congestion and latency conditions. Telemetry does not remove routing tables or require hardware replacement.


                                  NEW QUESTION # 34
                                  A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?

                                  Answer: A

                                  Explanation:
                                  Internet Group Management Protocol (IGMP) allows hosts to join and leave multicast groups dynamically. This improves multicast efficiency for distributed AI workloads. ARP resolves MAC addresses, while LLDP and CDP are neighbor discovery protocols that do not manage multicast memberships.


                                  NEW QUESTION # 35
                                  A data center team enables jumbo frames in a Cisco AI cluster. What is the primary benefit of increasing the MTU for east-west GPU traffic?

                                  Answer: D

                                  Explanation:
                                  Jumbo frames reduce the number of packets needed to transmit large AI datasets, decreasing CPU interrupts and protocol overhead. This improves throughput and efficiency for GPU communication. Larger MTUs do not directly affect convergence or eliminate buffering, and they typically reduce rather than increase processing overhead.


                                  NEW QUESTION # 36
                                  A Cisco AI infrastructure requires fast convergence after a spine switch failure. Which routing design principle best supports this objective?

                                  Answer: C

                                  Explanation:
                                  ECMP provides multiple active forwarding paths and enables rapid failover when a path becomes unavailable. AI environments benefit from resilient high-bandwidth forwarding. Static redistribution slows operational flexibility, while single-path forwarding and Layer 2 dependency reduce scalability and convergence efficiency.


                                  NEW QUESTION # 37
                                  ......

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