Quiz 300-640 - Reliable Practice Implementing Cisco Data Center AI Infrastructure Exam Pdf

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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. High-throughput storage for AI training data
        • 2. Distributed storage concepts
          Security and Governance in AI Data Centers- Infrastructure security
          • 1. Secure access to AI workloads
            • 2. Network segmentation and policy enforcement
              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. Low-latency switching and routing considerations
                    • 2. Leaf-spine architecture in AI environments
                      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 AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                              • 1. Compute, GPU, and acceleration concepts
                                • 2. Data pipeline and workload characteristics

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q33-Q38):

                                  NEW QUESTION # 33
                                  A Cisco AI cluster requires segmentation between multiple research teams sharing the same physical infrastructure. Which solution provides scalable tenant isolation?

                                  Answer: C

                                  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 # 34
                                  A customer is deploying a new AI fabric with all new NVIDIA GPUs and must verify the performance between the nodes in the network. Which tool must be used to validate the customer benchmarks?

                                  Answer: A

                                  Explanation:
                                  NCCL is the standard tool used to validate GPU-to-GPU communication performance in NVIDIA- based AI fabrics. It measures collective communication behavior between GPU nodes, making it appropriate for benchmarking the AI training network performance.


                                  NEW QUESTION # 35
                                  A network engineer analyzes RoCEv2 traffic flows in an AI training cluster and notices that all RoCEv2 packets have the Don't Fragment bit set in the IP header. Why must RoCEv2 set the DF bit in all packets?

                                  Answer: C

                                  Explanation:
                                  RoCEv2 carries InfiniBand transport semantics over UDP/IP, and IP fragmentation would disrupt the expected packet sequencing and ordering behavior required by RDMA. Setting the Don't Fragment bit prevents intermediate devices from fragmenting RoCEv2 packets, preserving reliable RDMA transport behavior across the AI training fabric.


                                  NEW QUESTION # 36
                                  An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?

                                  Answer: B

                                  Explanation:
                                  The NIC must be explicitly configured with the Cisco dynamic load-balancing setting so it recognizes that the connected Cisco Nexus fabric supports adaptive routing. This completes the integration between NIC-side adaptive routing and switch-side per-packet load balancing for optimized AI training traffic.


                                  NEW QUESTION # 37
                                  A customer deploys a UCS 885a server in a data center with two power grids. Three of the
                                  3000W power supplies in the server connect to each grid. Due to an external event, one of the grids will be shut down for maintenance. How does the server respond to this event?

                                  Answer: A

                                  Explanation:
                                  With three 3000W power supplies lost from one power grid, the UCS C885A continues operating on the remaining grid but no longer has the full power budget available for maximum GPU operation. The server reduces performance by enforcing power limits, including capping GPU power, so workloads can continue running within the available power capacity.


                                  NEW QUESTION # 38
                                  ......

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