300-640最新考古題 & 300-640考題資訊

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: Security and Governance in AI Data Centers- Infrastructure security
  • 1. Secure access to AI workloads
    • 2. Network segmentation and policy enforcement
      Topic 2: Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
      • 1. Data pipeline and workload characteristics
        • 2. Compute, GPU, and acceleration concepts
          Topic 3: Compute and Storage for AI Infrastructure- Storage systems
          • 1. High-throughput storage for AI training data
            • 2. Distributed storage concepts
              - Compute architecture
              • 1. GPU-based compute nodes
                • 2. HPC-style scaling considerations
                  Topic 4: AI Infrastructure Deployment and Operations- Deployment models
                  • 1. On-premises AI clusters
                    • 2. Hybrid AI infrastructure integration
                      - Operations and lifecycle management
                      • 1. Monitoring and observability
                        • 2. Performance tuning and optimization
                          Topic 5: Data Center Networking for AI Workloads- Cisco Data Center networking technologies
                          • 1. Cisco Nexus platform concepts
                            • 2. Cisco ACI integration concepts
                              - High-performance fabric design
                              • 1. Leaf-spine architecture in AI environments
                                • 2. Low-latency switching and routing considerations

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                                  300-640考題資訊 & 300-640題庫下載

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                                  最新的 CCNP Data Center 300-640 免費考試真題 (Q68-Q73):

                                  問題 #68
                                  A network architect designs a Cisco AI fabric with spine-leaf topology. What is the primary advantage of this architecture for AI training workloads?

                                  答案:C

                                  解題說明:
                                  AI workloads generate massive east-west traffic between compute nodes. Spine-leaf designs provide predictable latency and scalable bandwidth because each leaf switch maintains equal- cost paths to all spines. Routing protocols are still required, IP addressing remains necessary, and wireless integration is unrelated to AI fabric performance requirements.


                                  問題 #69
                                  Drag and Drop Question

                                  Refer to the exhibit. When a new AI backend network that supports Cisco UCS-based GPU servers with NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed has unacceptable variability across the interfaces. Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switch to resolve the issue.

                                  答案:

                                  解題說明:


                                  問題 #70
                                  An engineer notices excessive broadcast traffic inside a legacy AI server VLAN. Which technology should be implemented to reduce flooding and improve scalability?

                                  答案:B

                                  解題說明:
                                  VXLAN EVPN reduces unknown unicast and broadcast flooding by using control-plane learning with BGP EVPN. This improves scalability in modern AI data centers. RIP is outdated for large- scale fabrics, while PAT and GRE tunneling do not address broadcast domain limitations.


                                  問題 #71
                                  An engineer must monitor congestion, flow latency, and traffic drops using Cisco Nexus Dashboard and chooses to use the Traffic Analytics feature. Which Nexus Dashboard feature is automatically disabled when Traffic Analytics is enabled?

                                  答案:A

                                  解題說明:
                                  Traffic Analytics and Flow Telemetry use overlapping telemetry resources in Cisco Nexus Dashboard. When Traffic Analytics is enabled to monitor congestion, latency, and drops, Flow Telemetry is automatically disabled to avoid resource and data collection conflicts.


                                  問題 #72
                                  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?

                                  答案:D

                                  解題說明:
                                  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.


                                  問題 #73
                                  ......

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                                  300-640考題資訊: https://www.vcesoft.com/300-640-pdf.html