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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
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
          Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
          • 1. Compute, GPU, and acceleration concepts
            • 2. Data pipeline and workload characteristics
              Security and Governance in AI Data Centers- Infrastructure security
              • 1. Secure access to AI workloads
                • 2. Network segmentation and policy enforcement
                  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
                          Compute and Storage for AI Infrastructure- Compute architecture
                          • 1. GPU-based compute nodes
                            • 2. HPC-style scaling considerations
                              - Storage systems
                              • 1. Distributed storage concepts
                                • 2. High-throughput storage for AI training data

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q18-Q23):

                                  NEW QUESTION # 18
                                  Which result is provided through image recognition using AI?

                                  Answer: A

                                  Explanation:
                                  Image recognition uses AI to analyze digital images or video frames and identify, detect, classify, or label visual elements such as objects, people, patterns, or scenes.


                                  NEW QUESTION # 19
                                  A medium-sized breadmaking operation must deploy a fleet of GPU servers that meet these requirements for their flagship application:
                                  - policy managed through cloud-based interface
                                  - low latency between specific pairs of GPUs
                                  - at least 2 GPUs per server
                                  - all GPUs should be same model
                                  - Intel CPU
                                  - well suited for Inferencing
                                  - customer is power conscious
                                  Which server meets the requirements?

                                  Answer: B

                                  Explanation:
                                  The UCS X210c M8 with the X580 PCIe node fits the requirements because it supports cloud- based policy management through Cisco Intersight, uses Intel Xeon processors, supports multiple same-model GPUs, and is well suited for GPU-accelerated inference workloads while allowing modular scale-out as demand grows. Cisco describes the X580p PCIe node as supporting up to four GPUs with X210c/X215c compute nodes for workloads including inference.
                                  Reference:
                                  https://www.cisco.com/c/en/us/products/collateral/servers-unified-computing/ucs-x-series- modular-system/mlperf-inference-ucs-x580p-wp.html
                                  https://www.cisco.com/c/dam/en/us/products/collateral/servers-unified-computing/ucs-x-series- modular-system/x210cm8-specsheet.pdf


                                  NEW QUESTION # 20
                                  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: C

                                  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 # 21
                                  A network engineer analyzes RoCEv2 traffic flows in an AI training cluster and notices that all RoCEv2 packets have the Don't Fragment bit set in the IP header. Why must RoCEv2 set the DF bit in all packets?

                                  Answer: D

                                  Explanation:
                                  RoCEv2 carries InfiniBand transport semantics over UDP/IP, and IP fragmentation would disrupt the expected packet sequencing and ordering behavior required by RDMA. Setting the Don't Fragment bit prevents intermediate devices from fragmenting RoCEv2 packets, preserving reliable RDMA transport behavior across the AI training fabric.


                                  NEW QUESTION # 22
                                  An organization deploys a new AI training fabric that uses RoCEv2 for GPU communication. The network architect designs the QoS configuration to ensure reliable RDMA transport and must meet these requirements:
                                  - Support 256 GPU servers with RDMA connectivity.
                                  - Prevent any packet loss that causes RDMA connection failures.
                                  - Maintain consistent low-latency communication with a target of less
                                  than 10 microseconds.
                                  - Use industry-standard protocols and configurations.
                                  Which configuration ensures that RoCEv2 operates as a lossless transport?

                                  Answer: B

                                  Explanation:
                                  RoCEv2 requires lossless Ethernet behavior to prevent packet drops that can disrupt RDMA communication. Enabling Priority Flow Control on the traffic class carrying RoCEv2 packets allows Ethernet pause behavior for that priority, helping maintain reliable, low-latency RDMA transport across the AI training fabric.


                                  NEW QUESTION # 23
                                  ......

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