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Cisco 300-640 Exam Syllabus Topics:

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

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q77-Q82):

                                  NEW QUESTION # 77
                                  What is a purpose of Cisco AI PODs?

                                  Answer: B

                                  Explanation:
                                  Cisco AI PODs are designed as integrated, validated full-stack infrastructure solutions that combine compute, networking, storage, and management capabilities to support AI training, fine- tuning, and inferencing workloads with faster deployment and operational consistency.


                                  NEW QUESTION # 78
                                  A corporate network administrator manages a HyperFabric AI environment and wants to receive email notifications about assertions in the fabric. The administrator sets up a recipient email endpoint under the notification endpoints in the controller, but notifications are not received.
                                  Which two configurations cause the issue? (Choose two.)

                                  Answer: B,D

                                  Explanation:
                                  Email endpoints must be verified before they can receive HyperFabric notifications, and the endpoint must also be included with the relevant fabric in the notification policy. Creating the email endpoint alone does not activate assertion notifications for a fabric until both of these notification requirements are completed.


                                  NEW QUESTION # 79
                                  A Cisco UCS C885A M8 server contains a GPU sled configured with six power supply units (PSUs) in an N+2 redundancy configuration. The workload on the GPU sled is currently drawing a load of 4500W. Using Power Save Mode, how many PSUs can be placed into standby mode to improve power efficiency without compromising redundancy?

                                  Answer: D

                                  Explanation:
                                  With six PSUs in an N+2 configuration and a 4500W load, at least two PSUs must remain available to carry the active workload, and two additional PSUs must remain available to preserve redundancy. Therefore, four PSUs must stay active, allowing two PSUs to be placed into standby mode for power efficiency without compromising the N+2 redundancy requirement.


                                  NEW QUESTION # 80
                                  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,D

                                  Explanation:
                                  Cisco Intersight performance monitoring uses resource utilization metrics to identify bottlenecks in AI workloads. Active CPU utilization shows whether host processing is limiting workload execution, while GPU memory utilization shows how effectively GPU memory is being consumed during model processing and training or inference tasks.


                                  NEW QUESTION # 81
                                  A network architect wants to provide high availability for AI compute nodes connected to dual Cisco Nexus switches. Which technology enables active-active uplink forwarding without STP blocking?

                                  Answer: B

                                  Explanation:
                                  Virtual Port Channel (vPC) allows devices to use active-active uplinks across two Nexus switches while avoiding spanning-tree blocking. This increases bandwidth utilization and resiliency for AI clusters. GLBP and VRRP provide gateway redundancy, while PVST+ still relies on blocking redundant paths.


                                  NEW QUESTION # 82
                                  ......

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