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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- Compute architecture
          • 1. GPU-based compute nodes
            • 2. HPC-style scaling considerations
              - Storage systems
              • 1. High-throughput storage for AI training data
                • 2. Distributed storage concepts
                  Topic 3: 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 4: Security and Governance in AI Data Centers- Infrastructure security
                      • 1. Network segmentation and policy enforcement
                        • 2. Secure access to AI workloads
                          Topic 5: AI Infrastructure Deployment and Operations- Operations and lifecycle management
                          • 1. Performance tuning and optimization
                            • 2. Monitoring and observability
                              - Deployment models
                              • 1. On-premises AI clusters
                                • 2. Hybrid AI infrastructure integration

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q27-Q32):

                                  NEW QUESTION # 27
                                  A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
                                  - high availability of the chassis management plane.
                                  - support for up to 768 GB of memory for in-memory model storage and
                                  processing
                                  - remote server launch requiring no on-site IT staff
                                  - use of Cisco Intersight for SaaS-based infrastructure lifecycle
                                  management
                                  Which solution meets the requirements?

                                  Answer: D


                                  NEW QUESTION # 28
                                  An engineer configures quality of service in the Cisco ACI fabric to connect VAST storage servers. Which combination of attributes must be selected?

                                  Answer: C

                                  Explanation:
                                  VAST storage integration in a Cisco ACI fabric requires QoS settings that support lossless, congestion-aware Ethernet behavior. Weighted Random Early Detection with congestion notification enabled allows the fabric to signal congestion early through ECN before buffer exhaustion occurs, helping maintain predictable performance for high-throughput storage traffic.


                                  NEW QUESTION # 29
                                  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: D


                                  NEW QUESTION # 30
                                  An engineer is deploying a Cisco AI POD environment to support large-scale AI workloads. The solution must provide a software-defined storage platform with a Disaggregated Shared- Everything architecture, allow compute nodes to run on Cisco UCS C225 M8 servers managed through Cisco Intersight, and deliver exabyte-scale, all-flash performance with integrated high- speed RDMA and GPU Direct Storage capabilities. Which solution meets the requirements?

                                  Answer: C

                                  Explanation:
                                  VAST Data Universal Storage provides a software-defined, disaggregated shared-everything storage architecture designed for AI-scale workloads. It supports Cisco UCS-based deployments managed through Intersight and delivers high-performance all-flash storage with RDMA and GPU Direct Storage capabilities for large-scale AI training, fine-tuning, and inference environments.


                                  NEW QUESTION # 31
                                  A Cisco Nexus switch is configured with QoS policies for AI traffic. Which scheduling mechanism guarantees bandwidth for critical traffic classes during congestion?

                                  Answer: A

                                  Explanation:
                                  Weighted scheduling allocates bandwidth according to configured priorities, ensuring critical AI traffic receives adequate forwarding resources during congestion. FIFO provides no prioritization, while MAC filtering and port mirroring are unrelated to congestion management or QoS scheduling.


                                  NEW QUESTION # 32
                                  ......

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