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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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 2: 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 3: AI Infrastructure Deployment and Operations- Deployment models
                  • 1. On-premises AI clusters
                    • 2. Hybrid AI infrastructure integration
                      - Operations and lifecycle management
                      • 1. Monitoring and observability
                        • 2. Performance tuning and optimization
                          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. Data pipeline and workload characteristics
                                • 2. Compute, GPU, and acceleration concepts

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

                                  NEW QUESTION # 79
                                  Which function is provided through natural language processing?

                                  Answer: B

                                  Explanation:
                                  Natural language processing enables systems to interpret, process, and transform human language from spoken or written inputs into structured data that applications can analyze, search, classify, or use for automation.


                                  NEW QUESTION # 80
                                  What is a primary behavior that occurs during the model training stage of the AI lifecycle?

                                  Answer: B

                                  Explanation:
                                  During model training, the model learns from training data by iteratively adjusting its internal weights and biases to reduce prediction error and improve performance against the defined objective function.


                                  NEW QUESTION # 81
                                  A network architect designs connectivity for a new Cisco AI POD operating in Intersight Managed Mode. To ensure high availability and aggregate bandwidth for external network traffic, a port channel must be established using multiple 100 GbE uplink ports on the fabric interconnects to connect to the upstream core switch infrastructure. Which specific policy, applied through the domain profile, must be modified to define and configure this port channel on the fabric interconnects for the desired uplink connectivity?

                                  Answer: A

                                  Explanation:
                                  In Cisco Intersight Managed Mode, fabric interconnect port roles and uplink port channels are defined in the port policy associated with the UCS domain profile. Modifying the port policy allows the engineer to configure multiple 100 GbE uplink ports as a port channel for aggregated bandwidth and high availability toward the upstream network.


                                  NEW QUESTION # 82
                                  An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?

                                  Answer: A

                                  Explanation:
                                  The NIC must be explicitly configured with the Cisco dynamic load-balancing setting so it recognizes that the connected Cisco Nexus fabric supports adaptive routing. This completes the integration between NIC-side adaptive routing and switch-side per-packet load balancing for optimized AI training traffic.


                                  NEW QUESTION # 83
                                  A Cisco AI cluster requires segmentation between multiple research teams sharing the same physical infrastructure. Which solution provides scalable tenant isolation?

                                  Answer: A

                                  Explanation:
                                  VXLAN overlays provide scalable multi-tenant segmentation using large VNI spaces beyond traditional VLAN limitations. AI infrastructures often support many isolated environments simultaneously. VLAN-only designs have scalability constraints, while WAN topologies and NAT do not provide modern data center tenant segmentation.


                                  NEW QUESTION # 84
                                  ......

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