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Cisco Implementing Cisco Data Center AI Infrastructure : 300-640

300-640

Exam Code: 300-640

Exam Name: Implementing Cisco Data Center AI Infrastructure

Updated: Jul 29, 2026

Q & A: 82 Questions and Answers

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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
AI Infrastructure Deployment and Data Management30%- Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics
- Configure compute and storage using Cisco UCS: profiles, policies, Intersight
- Deploy and manage AI infrastructure with orchestration tools
- Implement data management and lifecycle for AI workloads
- Integrate AI frameworks and applications with Cisco infrastructure
AI Infrastructure Fundamentals20%- Describe types of AI infrastructure: on-premises, cloud, hybrid, edge
- Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring
- Describe AI use cases in data center environments
- Describe AI and machine learning concepts
- Explain Cisco AI infrastructure solutions and portfolio
AI Infrastructure Operations and Troubleshooting20%- Troubleshoot network, compute, storage, and orchestration issues
- Manage health, logs, and events
- Implement performance benchmarking and validation
- Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts
- Optimize performance, security, and reliability
AI Infrastructure Components and Architecture30%- Evaluate power, cooling, and efficiency requirements
- Evaluate hybrid and multi-cloud AI integration
- Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS
- Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures
- Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed. Which Cisco product meets the requirements?

A) UCS M-series
B) UCS X-series
C) UCS C-series Standalone
D) Unified Edge


2. Which components are part of the HyperFabric AI solution?

A) Cisco UCS servers combined with high-speed networking switches and third-party storage
B) integrated compute and networking hardware optimized for AI workloads, with optional cloud management
C) combination of Cisco networking hardware and software-defined storage designed for AI scalability
D) Cisco UCS servers with NVIDIA GPUs, switches, optional VAST Data Storage and cloud- managed networking


3. Drag and Drop Question
A network engineer is designing congestion management for an AI cluster using RoCEv2 transport. Based on Cisco best practices, the engineer must understand how ECN and PFC work together to provide lossless Ethernet transport. Drag and drop the congestion management mechanisms from the left onto the corresponding descriptions on the right. Not all options are used.


4. A medium-sized breadmaking operation must deploy a fleet of GPU servers that meet these requirements for their flagship application:
- policy managed through cloud-based interface
- low latency between specific pairs of GPUs
- at least 2 GPUs per server
- all GPUs should be same model
- Intel CPU
- well suited for Inferencing
- customer is power conscious
Which server meets the requirements?

A) X210C M8 with x580 PCIe node
B) C845A M8
C) C245 M8
D) C885A M8


5. A company deploys a Cisco UCS environment to host AI inferencing workloads that demand low latency, high throughput, and efficient resource utilization. Which set of actions must be taken to deploy a high-performance fabric within the Cisco UCS infrastructure?

A) Deploy a Cisco MDS 9000 Series Switch for Fibre Channel connectivity to storage.
Use a Cisco Fabric Interconnect for management traffic only.
B) Use a single Cisco Fabric Interconnect in a standalone configuration.
Connect all UCS servers directly to it using 10 Gb Ethernet.
C) Implement a dual-fabric design with two Cisco Fabric Interconnects, and use 100 Gb Ethernet for server-to-fabric connectivity.
Configuring port channels for uplink connections.
D) Connect UCS servers to a Cisco Nexus 3000 Series Switch using 100 Gb Ethernet.
Configure a separate management network using a dedicated Cisco Catalyst switch.


Solutions:

Question # 1
Answer: B
Question # 2
Answer: D
Question # 3
Answer: Only visible for members
Question # 4
Answer: A
Question # 5
Answer: C

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