Cisco 300-640 Exam Questions : Implementing Cisco Data Center AI Infrastructure

Exam Code: 300-640
Exam Name: Implementing Cisco Data Center AI Infrastructure
Updated: Oct 08, 2026
Q&As: 82 Questions and Answers

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Cisco 300-640 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Infrastructure Operations and Troubleshooting	20%	- Optimize performance, security, and reliability - Troubleshoot network, compute, storage, and orchestration issues - Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts - Manage health, logs, and events - Implement performance benchmarking and validation
Topic 2: AI Infrastructure Deployment and Data Management	30%	- Deploy and manage AI infrastructure with orchestration tools - Integrate AI frameworks and applications with Cisco infrastructure - Configure compute and storage using Cisco UCS: profiles, policies, Intersight - Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics - Implement data management and lifecycle for AI workloads
Topic 3: AI Infrastructure Components and Architecture	30%	- Evaluate hybrid and multi-cloud AI integration - Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS - Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability - Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures - Evaluate power, cooling, and efficiency requirements
Topic 4: AI Infrastructure Fundamentals	20%	- Describe AI and machine learning concepts - Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring - Describe types of AI infrastructure: on-premises, cloud, hybrid, edge - Describe AI use cases in data center environments - Explain Cisco AI infrastructure solutions and portfolio

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

Question #1

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

Reveal Solution Discussion 0

Correct Answer: D 🗳️

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Question #2

To support growing AI workload requirements, a regional medical practice is adding new X9516 X-Fabric module, UCS PCI Mezz cards, and UCS X580p PCIe nodes to their existing X-Series chassis. Which two administrative actions must be taken before the X-Fabric module is added to the chassis? (Choose two.)

A. Disconnect cabling between IFMs and fabric interconnects.
B. Install UCS PCI Mezzanine cards in X-Series blades.
C. Power down all IFMs in the chassis.
D. Disconnect device connector.
E. Power down all blades that would connect to the X-Fabric modules.

Reveal Solution Discussion 0

Correct Answer: B,E 🗳️

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Question #3

An engineer must optimize the performance of an AI inference workload running on a Cisco UCS C-Series rack server. The workload experiences intermittent latency spikes, and Intersight system logs show frequent thermal event entries. Which troubleshooting action must be taken first to address the performance issues on the Cisco UCS server?

A. Check the power supply status and power consumption of the UCS server using UCS Manager to ensure that the server has sufficient power.
B. Review the resource utilization of the AI workload (CPU, memory, and GPU) to identify potential bottlenecks and optimize resource allocation.
C. Examine the storage configuration, including the RAID configuration and disk health, to ensure that the storage subsystem is not causing latency issues.
D. Inspect the physical environment of the server, including ambient temperature and airflow, and replace any failed fans.

Reveal Solution Discussion 0

Correct Answer: D 🗳️

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Question #4

What is a function of NVLink technology within a high-performance AI server or cluster?

A. to provide a high-speed, low-latency direct interconnect for GPU-to-GPU communication
B. to manage power distribution and thermal regulation across all installed GPU units
C. to establish a secure, encrypted channel for data transfer between the AI server and external storage
D. to enable remote access and virtualization of GPU resources for distributed AI development teams

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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Question #5

Which function is provided through natural language processing?