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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: 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
                  Topic 3: Compute and Storage for AI Infrastructure- Storage systems
                  • 1. Distributed storage concepts
                    • 2. High-throughput storage for AI training data
                      - Compute architecture
                      • 1. GPU-based compute nodes
                        • 2. HPC-style scaling considerations
                          Topic 4: Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                          • 1. Compute, GPU, and acceleration concepts
                            • 2. Data pipeline and workload characteristics
                              Topic 5: 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 (Q62-Q67):

                                  NEW QUESTION # 62
                                  During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?

                                  Answer: D

                                  Explanation:
                                  Microbursts occur within milliseconds and are often missed by traditional monitoring methods.
                                  High-frequency streaming telemetry provides granular visibility into queue depth, drops, and latency conditions in real time. Hourly exports and infrequent manual inspection cannot reliably detect transient AI fabric congestion events.


                                  NEW QUESTION # 63
                                  A customer uses Cisco AI Products within Intersight and observes packet drops for RoCEv2 traffic. Which System QoS policy configuration must be deployed to ensure that RoCEv2 traffic is classified as lossless?

                                  Answer: B

                                  Explanation:
                                  RoCEv2 traffic must be mapped to a lossless system class. Enabling the Platinum class and clearing Allow Packet Drops configures that class as lossless, preventing packet drops for RoCEv2 traffic and supporting reliable RDMA communication for AI workloads.


                                  NEW QUESTION # 64
                                  An Intersight administrator plans to deploy new server solutions to several small branch offices across the country. Each location needs at least one chassis. The servers must have redundant CPUs, memory, and 200 Gbps of unified fabric connectivity per compute node. Which hybrid AI compute solution meets the requirements?

                                  Answer: A

                                  Explanation:
                                  Cisco UCS X-Direct is designed for smaller distributed or branch deployments that still need chassis-based UCS X-Series compute capabilities. It supports redundant compute resources and high-speed unified fabric connectivity, including 200 Gbps per compute node, making it the best fit for hybrid AI workloads across multiple branch office locations.


                                  NEW QUESTION # 65
                                  A server administrator must monitor the performance and utilization of GPUs in Cisco UCS servers running AI workloads. Which two metrics must be used in Cisco Intersight to accomplish these goals? (Choose two.)

                                  Answer: D,E

                                  Explanation:
                                  Cisco Intersight provides GPU-focused telemetry for UCS servers, including utilization and performance metrics. These measurements allow the administrator to monitor how heavily the GPUs are being used and whether the AI workload is receiving the expected GPU performance.


                                  NEW QUESTION # 66
                                  An administrator configures VXLAN EVPN in a Cisco AI data center fabric. The requirement is to provide Layer 2 adjacency across multiple leaf switches while maintaining scalable control-plane learning. Which protocol fulfills this function?

                                  Answer: A


                                  NEW QUESTION # 67
                                  ......

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