Cisco 300-640 real exam prep : Implementing Cisco Data Center AI Infrastructure

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Cisco 300-640 Exam Syllabus Topics:

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. 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.

2. A network engineer is deploying an AI training fabric using Cisco Nexus switches with RoCEv2 enabled. During testing, packet drops occur when traffic bursts exceed buffer capacity. Which feature should be configured to minimize congestion and improve lossless Ethernet performance for GPU traffic?

A) BPDU Guard
B) DHCP Snooping
C) Priority Flow Control
D) Storm Control

3. A Cisco Nexus switch experiences head-of-line blocking in an RDMA environment. Which mechanism is most effective in reducing this condition?

A) Virtual output queuing
B) Weighted Random Early Detection
C) NAT overload
D) PortFast

4. A network architect designs a Cisco AI fabric with spine-leaf topology. What is the primary advantage of this architecture for AI training workloads?

A) Elimination of routing protocols
B) Reduced need for IP addressing
C) Simplified wireless integration
D) Predictable low-latency east-west traffic

5. A server administrator must monitor the performance and utilization of GPUs in Cisco UCS servers running AI workloads. Which two metrics must be used in Cisco Intersight to accomplish these goals? (Choose two.)

A) Monitor
B) GPU Memory Utilization
C) Active CPU Utilization
D) Insights
E) Explorer

Solutions: