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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Deployment and Data Management | 30% | - Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics - Configure compute and storage using Cisco UCS: profiles, policies, Intersight - Implement data management and lifecycle for AI workloads - Deploy and manage AI infrastructure with orchestration tools - Integrate AI frameworks and applications with Cisco infrastructure |
| Topic 2: AI Infrastructure Fundamentals | 20% | - Explain Cisco AI infrastructure solutions and portfolio - Describe types of AI infrastructure: on-premises, cloud, hybrid, edge - Describe AI and machine learning concepts - Describe AI use cases in data center environments - Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring |
| Topic 3: AI Infrastructure Operations and Troubleshooting | 20% | - Manage health, logs, and events - Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts - Optimize performance, security, and reliability - Troubleshoot network, compute, storage, and orchestration issues - Implement performance benchmarking and validation |
| Topic 4: AI Infrastructure Components and Architecture | 30% | - Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability - Evaluate power, cooling, and efficiency requirements - Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures - Evaluate hybrid and multi-cloud AI integration - Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS |
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
1. 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 Performance
C) GPU Utilization
D) Explorer
E) System CPU Utilization
2. Drag and Drop Question
An engineer must configure vNIC templates for a UCS X-Series deployment. Drag and drop the policy types from the left onto the corresponding configuration settings on the right. Not all options are used.
3. 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 compute and GPU resources selected must provide direct GPU to GPU access leveraging NVLink technology.
Which set of products meets the requirements?
A) UCS C240 M8 with NVIDIA L40 GPU
B) UCS C885A M8 with NVIDIA H200 GPU
C) UCS C845A M8 with AMD MI210 GPU
D) UCS C220 M8 with NVIDIA A16 GPU
4. What is a function of NVLink technology within a high-performance AI server or cluster?
A) to establish a secure, encrypted channel for data transfer between the AI server and external storage
B) to enable remote access and virtualization of GPU resources for distributed AI development teams
C) to manage power distribution and thermal regulation across all installed GPU units
D) to provide a high-speed, low-latency direct interconnect for GPU-to-GPU communication
5. An engineer made changes to the corporate DNS, which caused a Cisco UCS X-Series domain to lose connectivity to Intersight. To restore connectivity, the management interface DNS and NTP settings must be updated using the device console UI. Which configuration change must be made in Intersight to allow the updated DNS configuration to persist?
A) Create a device connector policy and apply it to the blade chassis.
B) Edit the IMC access policy associated to the fabric interconnects.
C) Edit the domain profile deployed to the fabric interconnect.
D) Create a network connectivity policy and apply it to the blade chassis.
Solutions:
| Question # 1 Answer: B,C | Question # 2 Answer: Only visible for members | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: C |






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