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Cisco 300-640 Exam Syllabus Topics:

SectionObjectives
Compute and Storage for AI Infrastructure- Compute architecture
  • 1. GPU-based compute nodes
    • 2. HPC-style scaling considerations
      - Storage systems
      • 1. Distributed storage concepts
        • 2. High-throughput storage for AI training data
          AI Infrastructure Deployment and Operations- Deployment models
          • 1. Hybrid AI infrastructure integration
            • 2. On-premises AI clusters
              - Operations and lifecycle management
              • 1. Monitoring and observability
                • 2. Performance tuning and optimization
                  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
                          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

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q41-Q46):

                                  NEW QUESTION # 41
                                  A medical company has existing third-party AI servers and NVMe storage, but they want to purchase Cisco network switches with a cloud managed feature for simplicity. Which solution best meets the requirements?

                                  Answer: B

                                  Explanation:
                                  Bring Your Own AI HyperFabric is the best fit when the customer already has third-party AI servers and NVMe storage but wants Cisco 6000 Series switching with simplified cloud-managed fabric operations. The Premier license aligns with the AI-focused HyperFabric use case, while Cisco describes Nexus HyperFabric as a cloud-managed AI infrastructure solution using Cisco
                                  6000 Series switches for AI workloads.


                                  NEW QUESTION # 42
                                  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: D,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 # 43
                                  An engineer configures Cisco Nexus Dashboard Fabric Controller for AI infrastructure automation. The company wants centralized policy management and simplified fabric provisioning across multiple pods. Which capability provides this benefit?

                                  Answer: A

                                  Explanation:
                                  Intent-based fabric automation simplifies deployment and policy consistency across large AI infrastructures. Nexus Dashboard Fabric Controller automates provisioning, validation, and operational management. Distributed ACLs and local VLAN switching are operational features but do not centralize orchestration. Manual CLI verification is error-prone and unsuitable for rapidly scaling AI environments.


                                  NEW QUESTION # 44
                                  During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?

                                  Answer: B

                                  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 # 45
                                  An administrator configures VXLAN EVPN in a Cisco AI data center fabric. The requirement is to provide Layer 2 adjacency across multiple leaf switches while maintaining scalable control-plane learning. Which protocol fulfills this function?

                                  Answer: C

                                  Explanation:
                                  BGP EVPN provides scalable control-plane MAC and IP route advertisement for VXLAN fabrics.
                                  It eliminates excessive flooding associated with traditional Layer 2 networks and supports efficient multi-tenant AI infrastructures. STP only prevents loops, OSPF is a Layer 3 routing protocol, and HSRP provides gateway redundancy rather than overlay endpoint learning.


                                  NEW QUESTION # 46
                                  ......

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