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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Infrastructure Operations | 20% | - Performance Optimization - Capacity Planning - Troubleshooting Common Issues - Monitoring and Management Tools |
| AI Infrastructure Security and Compliance | 10% | - Compliance Considerations - Access Control and Authentication - Security Best Practices |
| AI Infrastructure Deployment | 25% | - Network Switch Configuration - GPU Server Configuration - Storage Configuration for AI - Hardware Installation and Configuration - Cabling and Connectivity |
| AI Infrastructure Fundamentals | 15% | - AI Workload Characteristics - AI Ecosystem Components - AI Infrastructure Requirements - GPU Architecture and Types |
| Cisco AI Infrastructure Architecture | 30% | - Cisco UCS AI Infrastructure Solutions - Storage Architecture Considerations - Hyperconverged Infrastructure for AI - Network Architecture for AI Workloads |
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
1. An engineer deploys BGP EVPN in a Cisco VXLAN fabric. Which route type advertises MAC and IP binding information for endpoints?
A) Type 2
B) Type 5
C) Type 4
D) Type 1
2. A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
- high availability of the chassis management plane.
- support for up to 768 GB of memory for in-memory model storage and
processing
- remote server launch requiring no on-site IT staff
- use of Cisco Intersight for SaaS-based infrastructure lifecycle
management
Which solution meets the requirements?
A) Cisco UCS C240 Servers
B) Cisco Unified Edge
C) Cisco UCS X-Series Direct
D) Cisco UCS C845A M8 Server
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 Medium 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 HyperFabric AI Small AI Cluster with Cisco 6000 switches and AI servers on premises
D) Cisco Intersight AI fabric with Nexus 9000 switches and AI servers on premises
4. When considering a rail-only network design, when would adding spine switches make sense?
A) when increasing the overall available buffers that spines provide
B) when needing a greater path redundancy within a single scalable unit
C) when scaling out to support traffic between multiple scalable units
D) when providing greater overall total bandwidth within a single scalable unit
5. To support growing AI workload requirements, a regional medical practice is adding new X9516 X-Fabric module, UCS PCI Mezz cards, and UCS X580p PCIe nodes to their existing X-Series chassis. Which two administrative actions must be taken before the X-Fabric module is added to the chassis? (Choose two.)
A) Disconnect cabling between IFMs and fabric interconnects.
B) Install UCS PCI Mezzanine cards in X-Series blades.
C) Power down all IFMs in the chassis.
D) Disconnect device connector.
E) Power down all blades that would connect to the X-Fabric modules.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: B,E |






