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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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 2: 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 3: 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. Leaf-spine architecture in AI environments
                        • 2. Low-latency switching and routing considerations
                          Topic 4: 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 5: Security and Governance in AI Data Centers- Infrastructure security
                              • 1. Secure access to AI workloads
                                • 2. Network segmentation and policy enforcement

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q78-Q83):

                                  NEW QUESTION # 78
                                  A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed. Which Cisco product meets the requirements?

                                  Answer: B

                                  Explanation:
                                  Cisco UCS X-Series is designed for scalable, modular compute environments that support GPU- enabled workloads, high memory capacity, virtualization, and coexistence with existing infrastructure. Its modular architecture allows the enterprise to expand resources as AI workload demands grow.


                                  NEW QUESTION # 79
                                  When considering a rail-only network design, when would adding spine switches make sense?

                                  Answer: A

                                  Explanation:
                                  In a rail-only design, each scalable unit provides optimized east-west GPU communication within that unit. Spine switches are added when the design must scale beyond a single scalable unit and support traffic between multiple scalable units while preserving predictable performance for larger AI training environments.


                                  NEW QUESTION # 80
                                  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: D

                                  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 # 81
                                  Which components are part of the HyperFabric AI solution?

                                  Answer: C

                                  Explanation:
                                  HyperFabric AI combines Cisco UCS servers with NVIDIA GPUs, Cisco Nexus 6000 Series switches, optional VAST Data storage, and cloud-managed networking to provide an integrated AI infrastructure solution for training and inference workloads.


                                  NEW QUESTION # 82
                                  What is the process involved in workload scheduling for AI environments?

                                  Answer: C

                                  Explanation:
                                  Workload scheduling in AI environments assigns jobs or tasks to available compute resources such as CPUs, GPUs, or accelerator nodes to improve utilization, reduce wait time, and optimize overall workload performance.


                                  NEW QUESTION # 83
                                  ......

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