Exam 300-640 Introduction - Latest 300-640 Exam Practice

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
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
          Compute and Storage for AI Infrastructure- Compute architecture
          • 1. HPC-style scaling considerations
            • 2. GPU-based compute nodes
              - Storage systems
              • 1. High-throughput storage for AI training data
                • 2. Distributed storage concepts
                  Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
                  • 1. Data pipeline and workload characteristics
                    • 2. Compute, GPU, and acceleration concepts
                      Security and Governance in AI Data Centers- Infrastructure security
                      • 1. Secure access to AI workloads
                        • 2. Network segmentation and policy enforcement
                          AI Infrastructure Deployment and Operations- Deployment models
                          • 1. On-premises AI clusters
                            • 2. Hybrid AI infrastructure integration
                              - Operations and lifecycle management
                              • 1. Performance tuning and optimization
                                • 2. Monitoring and observability

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q69-Q74):

                                  NEW QUESTION # 69
                                  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: C

                                  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 # 70
                                  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 # 71
                                  Server administrators receive reports of power utilization being near capacity across multiple UCS X-Series servers in the data center after a hardware upgrade. The chassis operates with six power supply units in redundant power mode. How can the administrator use additional power without impacting redundancy?

                                  Answer: D

                                  Explanation:
                                  Extended power capacity allows a UCS X-Series chassis with six power supplies in redundant mode to make additional power available while still preserving redundancy. This is used when power demand increases after hardware upgrades and the administrator needs more usable power without changing the redundant power configuration.


                                  NEW QUESTION # 72
                                  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: B

                                  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 # 73
                                  What is the process involved in workload scheduling for AI environments?

                                  Answer: D

                                  Explanation:
                                  Workload scheduling in AI environments assigns jobs or tasks to available compute resources such as CPUs, GPUs, or accelerator nodes to improve utilization, reduce wait time, and optimize overall workload performance.


                                  NEW QUESTION # 74
                                  ......

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