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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: Compute and Storage for AI Infrastructure- Compute architecture
  • 1. HPC-style scaling considerations
    • 2. GPU-based compute nodes
      - Storage systems
      • 1. Distributed storage concepts
        • 2. High-throughput storage for AI training data
          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 ACI integration concepts
                • 2. Cisco Nexus platform concepts
                  Topic 3: AI Infrastructure Deployment and Operations- Operations and lifecycle management
                  • 1. Monitoring and observability
                    • 2. Performance tuning and optimization
                      - Deployment models
                      • 1. Hybrid AI infrastructure integration
                        • 2. On-premises AI clusters
                          Topic 4: Security and Governance in AI Data Centers- Infrastructure security
                          • 1. Network segmentation and policy enforcement
                            • 2. Secure access to AI workloads
                              Topic 5: 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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                                  Latest 300-640 Dumps Free: Implementing Cisco Data Center AI Infrastructure - High-quality Cisco New 300-640 Test Simulator

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q79-Q84):

                                  NEW QUESTION # 79
                                  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: A,B

                                  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 # 80
                                  An engineer made changes to the corporate DNS, which caused a Cisco UCS X-Series domain to lose connectivity to Intersight. To restore connectivity, the management interface DNS and NTP settings must be updated using the device console UI. Which configuration change must be made in Intersight to allow the updated DNS configuration to persist?

                                  Answer: B

                                  Explanation:
                                  In Cisco Intersight Managed Mode, the fabric interconnect management DNS and NTP settings are controlled through the UCS domain profile. If the settings are changed locally from the device console UI, the deployed domain profile must also be updated in Intersight so the corrected configuration is not overwritten during the next policy deployment or compliance remediation.


                                  NEW QUESTION # 81
                                  A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?

                                  Answer: C

                                  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 # 82
                                  What is a function of NVLink technology within a high-performance AI server or cluster?

                                  Answer: A

                                  Explanation:
                                  NVLink provides a high-bandwidth, low-latency direct interconnect between GPUs. In AI servers and clusters, it accelerates GPU-to-GPU communication for training and inference workloads by allowing GPUs to exchange data much faster than through standard PCIe paths.


                                  NEW QUESTION # 83
                                  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 # 84
                                  ......

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