Study 300-640 Material, Certification 300-640 Exam

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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
      AI Infrastructure Deployment and Operations- Deployment models
      • 1. On-premises AI clusters
        • 2. Hybrid AI infrastructure integration
          - Operations and lifecycle management
          • 1. Monitoring and observability
            • 2. Performance tuning and optimization
              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 Nexus platform concepts
                    • 2. Cisco ACI integration concepts
                      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

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                                  Certification 300-640 Exam, Simulation 300-640 Questions

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q28-Q33):

                                  NEW QUESTION # 28
                                  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: B

                                  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 # 29
                                  A large-scale retail store manages many compute resources spread across branch offices, which enables AI workloads to be processed on-premises. Each workload and site location requires specific OS installation and configuration. To simplify management, configuration, and deployment of the workloads, a Cisco Intersight feature must be used that enables workload deployment at scale. Which feature must be used to accomplish this functionality?

                                  Answer: B

                                  Explanation:
                                  Fleet management in Cisco Intersight is used to manage and deploy workloads consistently across many distributed compute resources. It supports scalable operations such as OS installation, configuration, and policy-driven deployment across multiple servers and locations, making it the correct feature for large distributed AI workload environments.


                                  NEW QUESTION # 30
                                  During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?

                                  Answer: D

                                  Explanation:
                                  Microbursts occur within milliseconds and are often missed by traditional monitoring methods.
                                  High-frequency streaming telemetry provides granular visibility into queue depth, drops, and latency conditions in real time. Hourly exports and infrequent manual inspection cannot reliably detect transient AI fabric congestion events.


                                  NEW QUESTION # 31
                                  Drag and Drop Question
                                  An organization is deploying an AI/ML infrastructure with multiple network fabrics, each serving a specific purpose. The network architect must match the network fabric type with its primary function. Drag and drop the network fabric types from the left onto the corresponding descriptions on the right.

                                  Answer:

                                  Explanation:


                                  NEW QUESTION # 32
                                  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 # 33
                                  ......

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