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Cisco 300-640 Exam Syllabus Topics:

Section	Objectives
Topic 1: 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 ACI integration concepts 2. Cisco Nexus platform concepts
Topic 2: AI Infrastructure Deployment and Operations	- Operations and lifecycle management 1. Monitoring and observability 2. Performance tuning and optimization - Deployment models 1. Hybrid AI infrastructure integration 2. On-premises AI clusters
Topic 3: Data Center AI Infrastructure Fundamentals	- AI/ML workload requirements in data centers 1. Compute, GPU, and acceleration concepts 2. Data pipeline and workload characteristics
Topic 4: Security and Governance in AI Data Centers	- Infrastructure security 1. Network segmentation and policy enforcement 2. Secure access to AI workloads
Topic 5: Compute and Storage for AI Infrastructure	- Storage systems 1. Distributed storage concepts 2. High-throughput storage for AI training data - Compute architecture 1. GPU-based compute nodes 2. HPC-style scaling considerations

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q74-Q79):

NEW QUESTION # 74
An organization deploys a new AI training fabric that uses RoCEv2 for GPU communication. The network architect designs the QoS configuration to ensure reliable RDMA transport and must meet these requirements:
- Support 256 GPU servers with RDMA connectivity.
- Prevent any packet loss that causes RDMA connection failures.
- Maintain consistent low-latency communication with a target of less
than 10 microseconds.
- Use industry-standard protocols and configurations.
Which configuration ensures that RoCEv2 operates as a lossless transport?

A. Enable Priority Flow Control on the traffic class carrying RoCEv2 packets.
B. Configure weighted fair queuing to prioritize RDMA traffic over other traffic classes.
C. Implement traffic shaping to smooth RDMA traffic bursts and prevent congestion.
D. Set the RDMA traffic to use the highest DSCP value to ensure priority forwarding.

Answer: A

Explanation:
RoCEv2 requires lossless Ethernet behavior to prevent packet drops that can disrupt RDMA communication. Enabling Priority Flow Control on the traffic class carrying RoCEv2 packets allows Ethernet pause behavior for that priority, helping maintain reliable, low-latency RDMA transport across the AI training fabric.

NEW QUESTION # 75
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?

A. BGP EVPN
B. OSPF
C. HSRP
D. STP

Answer: A

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 # 76
A network engineer analyzes RoCEv2 traffic flows in an AI training cluster and notices that all RoCEv2 packets have the Don't Fragment bit set in the IP header. Why must RoCEv2 set the DF bit in all packets?

A. to ensure that packets always take the same path through ECMP routing for consistent latency
B. to prevent IP fragmentation that would break the InfiniBand sequence numbering and ordering guarantees
C. to indicate to intermediate switches that the packet contains RDMA traffic requiring special handling
D. to enable Path MTU Discovery so that the optimal packet size can be negotiated

Answer: B

Explanation:
RoCEv2 carries InfiniBand transport semantics over UDP/IP, and IP fragmentation would disrupt the expected packet sequencing and ordering behavior required by RDMA. Setting the Don't Fragment bit prevents intermediate devices from fragmenting RoCEv2 packets, preserving reliable RDMA transport behavior across the AI training fabric.

NEW QUESTION # 77
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?

A. Intent-based fabric automation
B. Local VLAN switching
C. Distributed ACL processing
D. Manual CLI consistency checks

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 # 78
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?

A. Add the "adaptive-routing" keyword under the switch load balancing configuration.
B. Set the cisco_dlb=1 option in the NIC configuration so the NIC knows it can use adaptive routing.
C. Include matching statements in your QoS policy so the switch knows which incoming packets to load balance.
D. Include switch configuration "hardware profile spectrum-x" in global configuration mode.

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 # 79
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