300-640 Actual Exams | 300-640 Certification Materials

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Security and Governance in AI Data Centers- Infrastructure security
  • 1. Network segmentation and policy enforcement
    • 2. Secure access to AI workloads
      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
              Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
              • 1. Data pipeline and workload characteristics
                • 2. Compute, GPU, and acceleration concepts
                  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
                          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

                                  >> 300-640 Actual Exams <<

                                  Efficient Cisco - 300-640 - Implementing Cisco Data Center AI Infrastructure Actual Exams

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q22-Q27):

                                  NEW QUESTION # 22
                                  A data center is deploying an AI infrastructure for LLM training and model inference. This infrastructure requires high GPU density, low-latency interconnects, and the ability to scale compute resources. When considering the Cisco UCS C885A M8 Rack Server for the deployment, which design aspect is the most critical for achieving optimal performance and scalability in this environment?

                                  Answer: C

                                  Explanation:
                                  For UCS C885A M8 servers running LLM training and inference workloads, the surrounding Nexus fabric design is critical because GPU-dense systems depend on low-latency, high- bandwidth, lossless network connectivity for scale-out performance. Selecting and configuring the correct Nexus fabric minimizes communication delays between compute nodes and enables the AI infrastructure to scale efficiently.


                                  NEW QUESTION # 23
                                  An engineer configures quality of service in the Cisco ACI fabric to connect VAST storage servers. Which combination of attributes must be selected?

                                  Answer: D

                                  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 # 24
                                  Which network design approach should be used to build a high-performance, nonblocking AI/ML data center fabric that supports 64 fully equipped UCS C885A nodes and provides the lowest possible latency and lossless Ethernet?

                                  Answer: D

                                  Explanation:
                                  A rail-optimized design is used for large AI/ML clusters because it aligns GPU-to-GPU communication paths across the fabric, minimizes latency, and supports high-throughput lossless Ethernet for distributed training workloads.


                                  NEW QUESTION # 25
                                  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: D

                                  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 # 26
                                  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: B


                                  NEW QUESTION # 27
                                  ......

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