Latest Cisco 300-640 Mock Test & Frenquent 300-640 Update

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
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 Nexus platform concepts
        • 2. Cisco ACI integration 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
                      Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                      • 1. Data pipeline and workload characteristics
                        • 2. Compute, GPU, and acceleration concepts
                          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

                                  >> Latest Cisco 300-640 Mock Test <<

                                  100% Pass Quiz 300-640 - Implementing Cisco Data Center AI Infrastructure โ€“The Best Latest Mock Test

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q50-Q55):

                                  NEW QUESTION # 50
                                  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: D

                                  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 # 51
                                  A network engineer logs into Nexus Dashboard and sees an anomaly showing that a BGP peer connection has gone down. Next to the anomaly, a yellow bubble displays "Correlated." What does Nexus Dashboard indicate by "Correlated" in this case?

                                  Answer: D

                                  Explanation:
                                  In Nexus Dashboard, a correlated anomaly means the displayed issue is associated with a higher-level root anomaly. The BGP peer-down event is being treated as a resulting or related symptom rather than the primary root cause, helping operators focus troubleshooting on the upstream issue first.


                                  NEW QUESTION # 52
                                  An organization deploys a new AI training fabric that uses RoCEv2 for GPU communication. The network architect designs the QoS configuration to ensure reliable RDMA transport and must meet these requirements:
                                  - Support 256 GPU servers with RDMA connectivity.
                                  - Prevent any packet loss that causes RDMA connection failures.
                                  - Maintain consistent low-latency communication with a target of less
                                  than 10 microseconds.
                                  - Use industry-standard protocols and configurations.
                                  Which configuration ensures that RoCEv2 operates as a lossless transport?

                                  Answer: B

                                  Explanation:
                                  RoCEv2 requires lossless Ethernet behavior to prevent packet drops that can disrupt RDMA communication. Enabling Priority Flow Control on the traffic class carrying RoCEv2 packets allows Ethernet pause behavior for that priority, helping maintain reliable, low-latency RDMA transport across the AI training fabric.


                                  NEW QUESTION # 53
                                  What does workload distribution offer in an AI infrastructure with local and external resources?

                                  Answer: C

                                  Explanation:
                                  Workload distribution in AI infrastructure enables computational tasks to be spread across local and external resources, improving scalability, resource utilization, and execution flexibility across multiple processing locations.


                                  NEW QUESTION # 54
                                  What describes inference traffic patterns in AI deployments?

                                  Answer: B

                                  Explanation:
                                  Inference traffic is associated with using a trained model to generate predictions or responses from new input data. In AI deployments, this commonly supports real-time or near-real-time decision making, such as classification, recommendations, detection, or automated responses.


                                  NEW QUESTION # 55
                                  ......

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                                  Frenquent 300-640 Update: https://www.trainingdump.com/Cisco/300-640-practice-exam-dumps.html