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Cisco 300-640 Exam Syllabus Topics:

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

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

Question #1

A network architect designs a Cisco AI fabric with spine-leaf topology. What is the primary advantage of this architecture for AI training workloads?

A. Predictable low-latency east-west traffic
B. Reduced need for IP addressing
C. Simplified wireless integration
D. Elimination of routing protocols

Reveal Solution Discussion 0

Correct Answer: A 🗳️