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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
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
          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
                  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
                          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 ACI integration concepts
                                • 2. Cisco Nexus platform concepts

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q59-Q64):

                                  NEW QUESTION # 59
                                  An end customer plans to deploy an AI fabric in a new data center. Their engineers are more familiar with CLI-based networks and require the capability to automate standardized configuration templates and monitor flows for the fabric. Which data center automation tool meets the requirements?

                                  Answer: C

                                  Explanation:
                                  Nexus Dashboard is the Cisco data center automation and operations platform used with Nexus fabrics. It supports standardized fabric configuration through automation templates and provides visibility features such as flow monitoring, making it the appropriate tool for engineers who need CLI-oriented data center fabric operations with automation and telemetry.


                                  NEW QUESTION # 60
                                  How does RAG enhance the capabilities of LLMs?

                                  Answer: C

                                  Explanation:
                                  RAG enhances LLMs by retrieving relevant external or proprietary information at generation time and using that context to produce more accurate, current, and domain-specific responses without changing the model's core parameters.


                                  NEW QUESTION # 61
                                  Drag and Drop Question

                                  Refer to the exhibit. When a new AI backend network that supports Cisco UCS-based GPU servers with NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed has unacceptable variability across the interfaces. Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switch to resolve the issue.

                                  Answer:

                                  Explanation:


                                  NEW QUESTION # 62
                                  A network engineer is deploying an AI training fabric using Cisco Nexus switches with RoCEv2 enabled. During testing, packet drops occur when traffic bursts exceed buffer capacity. Which feature should be configured to minimize congestion and improve lossless Ethernet performance for GPU traffic?

                                  Answer: D

                                  Explanation:
                                  Priority Flow Control (PFC) allows selective pausing of traffic classes during congestion, which is critical for RoCEv2 environments carrying GPU-to-GPU communication. AI workloads are highly sensitive to packet loss and retransmissions. BPDU Guard and DHCP Snooping are security features, while Storm Control only limits broadcast or multicast traffic and does not create lossless behavior for RDMA traffic.


                                  NEW QUESTION # 63
                                  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: C

                                  Explanation:
                                  BGP EVPN provides scalable control-plane MAC and IP route advertisement for VXLAN fabrics.
                                  It eliminates excessive flooding associated with traditional Layer 2 networks and supports efficient multi-tenant AI infrastructures. STP only prevents loops, OSPF is a Layer 3 routing protocol, and HSRP provides gateway redundancy rather than overlay endpoint learning.


                                  NEW QUESTION # 64
                                  ......

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