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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: AI Infrastructure Operations and Troubleshooting | 20% | - Implement performance benchmarking and validation
- Troubleshoot network, compute, storage, and orchestration issues
- Manage health, logs, and events
- Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts
- Optimize performance, security, and reliability
|
| Topic 2: AI Infrastructure Deployment and Data Management | 30% | - Configure compute and storage using Cisco UCS: profiles, policies, Intersight
- Implement data management and lifecycle for AI workloads
- Integrate AI frameworks and applications with Cisco infrastructure
- Deploy and manage AI infrastructure with orchestration tools
- Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics
|
| Topic 3: AI Infrastructure Components and Architecture | 30% | - Evaluate power, cooling, and efficiency requirements
- Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability
- 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
|
| Topic 4: AI Infrastructure Fundamentals | 20% | - Explain Cisco AI infrastructure solutions and portfolio
- Describe AI use cases in data center environments
- Describe types of AI infrastructure: on-premises, cloud, hybrid, edge
- Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring
- Describe AI and machine learning concepts
|
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
1. An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?
A) Set the cisco_dlb=1 option in the NIC configuration so the NIC knows it can use adaptive routing.
B) Add the "adaptive-routing" keyword under the switch load balancing configuration.
C) Include matching statements in your QoS policy so the switch knows which incoming packets to load balance.
D) Include switch configuration "hardware profile spectrum-x" in global configuration mode.
2. 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) GPU Memory Utilization
B) Insights
C) Explorer
D) Active CPU Utilization
E) Monitor
3. A Cisco AI cluster requires segmentation between multiple research teams sharing the same physical infrastructure. Which solution provides scalable tenant isolation?
A) VXLAN overlays
B) Hub-and-spoke WAN
C) Static NAT
D) VLAN-only design
4. Which result is provided through image recognition using AI?
A) detection and labeling of visual elements from digital sources
B) scheduling of management tasks during maintenance periods
C) anonymization of audit trails for compliance objectives
D) routing of multicast messages across network boundaries
5. Which IP-based storage transport supports flow control between directly connected devices?
A) Fibre Channel
B) NVMe/TCP
C) NVMe/RoCE
D) iSCSI
Solutions:
Question # 1 Answer: A | Question # 2 Answer: A,D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: C |