Cisco Implementing Cisco Data Center AI Infrastructure - 300-640

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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 must secure management access to Cisco Nexus AI switches. Which protocol should replace Telnet to provide encrypted administrative sessions?

A) TFTP
B) SNMPv1
C) SSH
D) FTP

3. A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?

A) LLDP
B) CDP
C) IGMP
D) ARP

4. Which network design approach should be used to build a high-performance, nonblocking AI/ML data center fabric that supports 64 fully equipped UCS C885A nodes and provides the lowest possible latency and lossless Ethernet?

A) traditional three-tier
B) flat Layer 2
C) rail optimized
D) leaf-spine

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

A) Streaming telemetry with high-frequency sampling
B) Daily syslog review
C) NetFlow with hourly exports
D) Manual CLI inspection once per week

Solutions: