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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Fundamentals | 20% | - Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring - Describe AI and machine learning concepts - 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 |
| Topic 2: AI Infrastructure Deployment and Data Management | 30% | - Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics - Deploy and manage AI infrastructure with orchestration tools - Implement data management and lifecycle for AI workloads - Integrate AI frameworks and applications with Cisco infrastructure - Configure compute and storage using Cisco UCS: profiles, policies, Intersight |
| Topic 3: AI Infrastructure Operations and Troubleshooting | 20% | - Troubleshoot network, compute, storage, and orchestration issues - Implement performance benchmarking and validation - Optimize performance, security, and reliability - Manage health, logs, and events - Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts |
| Topic 4: AI Infrastructure Components and Architecture | 30% | - Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability - 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 |
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
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. System CPU Utilization
- B. Monitor
- C. GPU Utilization
- D. GPU Performance
- E. Explorer
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What is a function of NVLink technology within a high-performance AI server or cluster?
- A. to manage power distribution and thermal regulation across all installed GPU units
- B. to establish a secure, encrypted channel for data transfer between the AI server and external storage
- C. to provide a high-speed, low-latency direct interconnect for GPU-to-GPU communication
- D. to enable remote access and virtualization of GPU resources for distributed AI development teams
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A nationwide grocery chain has deployed Unified Edge to all its locations. Each store has 10 or more surveillance cameras that write approximately 1 Gb per hour. The surveillance retention policy requires maintaining 2 weeks of recording per camera. Which type of cost-effective centralized storage solution must be evaluated with Unified Edge devices to adhere to this policy?
- A. Infiniband shared storage
- B. IP-based shared storage
- C. local storage
- D. Fibre Channel shared storage
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How does RAG enhance the capabilities of LLMs?
- A. by removing inherent biases from LLM outputs
- B. by providing access to proprietary data
- C. by removing the data preparation and cleaning step
- D. by retaining the LLM by altering its core parameters
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An engineer deploys BGP EVPN in a Cisco VXLAN fabric. Which route type advertises MAC and IP binding information for endpoints?
- A. Type 5
- B. Type 2
- C. Type 1
- D. Type 4
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