Top 300-640 Questions - 300-640 Valid Test Preparation

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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: Data Center AI Infrastructure Fundamentals- AI/ML workload requirements in data centers
          • 1. Data pipeline and workload characteristics
            • 2. Compute, GPU, and acceleration concepts
              Topic 3: 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
                      Topic 4: Security and Governance in AI Data Centers- Infrastructure security
                      • 1. Secure access to AI workloads
                        • 2. Network segmentation and policy enforcement
                          Topic 5: 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

                                  >> Top 300-640 Questions <<

                                  300-640 Learning Materials: Implementing Cisco Data Center AI Infrastructure - 300-640 Actual Lab Questions

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q65-Q70):

                                  NEW QUESTION # 65
                                  A data center operator configures telemetry streaming on Cisco Nexus switches. What is the primary operational advantage over traditional SNMP polling?

                                  Answer: B

                                  Explanation:
                                  Streaming telemetry continuously exports operational data in near real time, improving visibility and reducing polling overhead compared to SNMP. AI infrastructures require rapid monitoring of congestion and latency conditions. Telemetry does not remove routing tables or require hardware replacement.


                                  NEW QUESTION # 66
                                  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 # 67
                                  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 # 68
                                  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: C

                                  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 # 69
                                  A corporate network administrator manages a HyperFabric AI environment and wants to receive email notifications about assertions in the fabric. The administrator sets up a recipient email endpoint under the notification endpoints in the controller, but notifications are not received.
                                  Which two configurations cause the issue? (Choose two.)

                                  Answer: A,E

                                  Explanation:
                                  Email endpoints must be verified before they can receive HyperFabric notifications, and the endpoint must also be included with the relevant fabric in the notification policy. Creating the email endpoint alone does not activate assertion notifications for a fabric until both of these notification requirements are completed.


                                  NEW QUESTION # 70
                                  ......

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