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Cisco 300-640 Exam Syllabus Topics:

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

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                                  Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q53-Q58):

                                  NEW QUESTION # 53
                                  What is a purpose of Cisco AI PODs?

                                  Answer: A

                                  Explanation:
                                  Cisco AI PODs are designed as integrated, validated full-stack infrastructure solutions that combine compute, networking, storage, and management capabilities to support AI training, fine- tuning, and inferencing workloads with faster deployment and operational consistency.


                                  NEW QUESTION # 54
                                  An engineer is deploying a Cisco AI POD environment to support large-scale AI workloads. The solution must provide a software-defined storage platform with a Disaggregated Shared- Everything architecture, allow compute nodes to run on Cisco UCS C225 M8 servers managed through Cisco Intersight, and deliver exabyte-scale, all-flash performance with integrated high- speed RDMA and GPU Direct Storage capabilities. Which solution meets the requirements?

                                  Answer: B

                                  Explanation:
                                  VAST Data Universal Storage provides a software-defined, disaggregated shared-everything storage architecture designed for AI-scale workloads. It supports Cisco UCS-based deployments managed through Intersight and delivers high-performance all-flash storage with RDMA and GPU Direct Storage capabilities for large-scale AI training, fine-tuning, and inference environments.


                                  NEW QUESTION # 55
                                  An engineer configures quality of service in the Cisco ACI fabric to connect VAST storage servers. Which combination of attributes must be selected?

                                  Answer: B

                                  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 # 56
                                  A network architect designs connectivity for a new Cisco AI POD operating in Intersight Managed Mode. To ensure high availability and aggregate bandwidth for external network traffic, a port channel must be established using multiple 100 GbE uplink ports on the fabric interconnects to connect to the upstream core switch infrastructure. Which specific policy, applied through the domain profile, must be modified to define and configure this port channel on the fabric interconnects for the desired uplink connectivity?

                                  Answer: A

                                  Explanation:
                                  In Cisco Intersight Managed Mode, fabric interconnect port roles and uplink port channels are defined in the port policy associated with the UCS domain profile. Modifying the port policy allows the engineer to configure multiple 100 GbE uplink ports as a port channel for aggregated bandwidth and high availability toward the upstream network.


                                  NEW QUESTION # 57
                                  Which function is provided through natural language processing?

                                  Answer: C

                                  Explanation:
                                  Natural language processing enables systems to interpret, process, and transform human language from spoken or written inputs into structured data that applications can analyze, search, classify, or use for automation.


                                  NEW QUESTION # 58
                                  ......

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