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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. On-premises AI clusters
        • 2. Hybrid AI infrastructure integration
          Security and Governance in AI Data Centers- Infrastructure security
          • 1. Network segmentation and policy enforcement
            • 2. Secure access to AI workloads
              Data Center Networking for AI Workloads- Cisco Data Center networking technologies
              • 1. Cisco ACI integration concepts
                • 2. Cisco Nexus platform concepts
                  - High-performance fabric design
                  • 1. Low-latency switching and routing considerations
                    • 2. Leaf-spine architecture in AI environments
                      Compute and Storage for AI Infrastructure- Storage systems
                      • 1. High-throughput storage for AI training data
                        • 2. Distributed storage concepts
                          - Compute architecture
                          • 1. GPU-based compute nodes
                            • 2. HPC-style scaling considerations
                              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 (Q24-Q29):

                                  NEW QUESTION # 24
                                  A data center facility experienced a power outage, and the UCS X-Series servers did not restart automatically when power is restored. The configuration must be updated to prioritize these servers to boot as soon as possible to resume their work. Which set of power policy configurations must be used to meet these requirements?

                                  Answer: D

                                  Explanation:
                                  The servers must be configured to power back on automatically after power is restored, so the restore behavior should be set to always power on. Setting the power priority to high ensures these UCS X-Series servers receive priority during power recovery, allowing them to resume workloads as quickly as possible.


                                  NEW QUESTION # 25
                                  To support growing AI workload requirements, a regional medical practice is adding new X9516 X-Fabric module, UCS PCI Mezz cards, and UCS X580p PCIe nodes to their existing X-Series chassis. Which two administrative actions must be taken before the X-Fabric module is added to the chassis? (Choose two.)

                                  Answer: B,E

                                  Explanation:
                                  Before adding the X9516 X-Fabric module, the affected X-Series blades must be powered down because the X-Fabric connectivity path requires hardware installation and cannot be safely introduced while the connected compute nodes are running. The UCS PCI Mezzanine cards must also be installed in the blades so they can physically connect through the X-Fabric module to the X580p PCIe nodes for GPU expansion.


                                  NEW QUESTION # 26
                                  What is a purpose of Cisco AI PODs?

                                  Answer: C

                                  Explanation:
                                  Cisco AI PODs are designed as integrated, validated full-stack infrastructure solutions that combine compute, networking, storage, and management capabilities to support AI training, fine- tuning, and inferencing workloads with faster deployment and operational consistency.


                                  NEW QUESTION # 27
                                  Drag and Drop Question
                                  A network engineer is designing congestion management for an AI cluster using RoCEv2 transport. Based on Cisco best practices, the engineer must understand how ECN and PFC work together to provide lossless Ethernet transport. Drag and drop the congestion management mechanisms from the left onto the corresponding descriptions on the right. Not all options are used.

                                  Answer:

                                  Explanation:


                                  NEW QUESTION # 28
                                  What is a function of NVLink technology within a high-performance AI server or cluster?

                                  Answer: B

                                  Explanation:
                                  NVLink provides a high-bandwidth, low-latency direct interconnect between GPUs. In AI servers and clusters, it accelerates GPU-to-GPU communication for training and inference workloads by allowing GPUs to exchange data much faster than through standard PCIe paths.


                                  NEW QUESTION # 29
                                  ......

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