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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: AI Infrastructure Deployment | 25% | - Network Switch Configuration
- Storage Configuration for AI
- Hardware Installation and Configuration
- Cabling and Connectivity
- GPU Server Configuration
|
| Topic 2: AI Infrastructure Fundamentals | 15% | - AI Ecosystem Components
- GPU Architecture and Types
- AI Infrastructure Requirements
- AI Workload Characteristics
|
| Topic 3: AI Infrastructure Security and Compliance | 10% | - Compliance Considerations
- Security Best Practices
- Access Control and Authentication
|
| Topic 4: Cisco AI Infrastructure Architecture | 30% | - Storage Architecture Considerations
- Cisco UCS AI Infrastructure Solutions
- Network Architecture for AI Workloads
- Hyperconverged Infrastructure for AI
|
| Topic 5: AI Infrastructure Operations | 20% | - Performance Optimization
- Troubleshooting Common Issues
- Monitoring and Management Tools
- Capacity Planning
|
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
1. A company is building a network fabric for an AI training cluster that will train large language models. The cluster includes 256 GPUs distributed across 32 servers. Security requirements mandate isolation between different training projects and allowing shared access to a central storage system. Which approach provides the required security isolation and maintains optimal performance for GPU-to-GPU communication?
A) Use VXLAN with separate VNIs per project and Group Policy Option to control granular access to shared storage.
B) Deploy separate physical networks for each project with dedicated switches and cross-connects to shared storage.
C) Configure QoS-based traffic steering with separate DSCP markings per project and policy-based routing to shared storage.
D) Implement port-based VLANs for each project with router ACLs controlling storage access at the distribution layer.
2. A network architect wants to provide high availability for AI compute nodes connected to dual Cisco Nexus switches. Which technology enables active-active uplink forwarding without STP blocking?
A) vPC
B) GLBP
C) PVST+
D) VRRP
3. A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment. Which Cisco solution meets the requirements?
A) Cisco HyperFabric AI Small AI Cluster with Cisco 6000 switches and AI servers on premises
B) Cisco Nexus Dashboard deployed in AWS or Azure with Nexus 9000 switches and AI servers on premises
C) Cisco Intersight AI fabric with Nexus 9000 switches and AI servers on premises
D) Cisco HyperFabric AI Medium AI Cluster with Cisco 6000 switches and AI servers on premises
4. Which IP-based storage transport supports flow control between directly connected devices?
A) NVMe/TCP
B) iSCSI
C) Fibre Channel
D) NVMe/RoCE
5. Drag and Drop Question

Refer to the exhibit. When a new AI backend network that supports Cisco UCS-based GPU servers with NVIDIA Connect-X network adapters is benchmarked, the traffic distribution observed has unacceptable variability across the interfaces. Drag and drop the code snippets from the bottom onto the boxes in the code to configure the switch to resolve the issue.

Solutions:
Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: Only visible for members |