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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Infrastructure Operations | 20% | - Monitoring and Management Tools - Performance Optimization - Capacity Planning - Troubleshooting Common Issues |
| Cisco AI Infrastructure Architecture | 30% | - Network Architecture for AI Workloads - Storage Architecture Considerations - Cisco UCS AI Infrastructure Solutions - Hyperconverged Infrastructure for AI |
| AI Infrastructure Security and Compliance | 10% | - Access Control and Authentication - Security Best Practices - Compliance Considerations |
| AI Infrastructure Fundamentals | 15% | - GPU Architecture and Types - AI Workload Characteristics - AI Ecosystem Components - AI Infrastructure Requirements |
| AI Infrastructure Deployment | 25% | - Hardware Installation and Configuration - Network Switch Configuration - Storage Configuration for AI - Cabling and Connectivity - GPU Server Configuration |
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
1. 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 X-Series Direct
B) Cisco Unified Edge
C) Cisco UCS C240 Servers
D) Cisco UCS C845A M8 Server
2. A Cisco UCS C885A M8 server contains a GPU sled configured with six power supply units (PSUs) in an N+2 redundancy configuration. The workload on the GPU sled is currently drawing a load of 4500W. Using Power Save Mode, how many PSUs can be placed into standby mode to improve power efficiency without compromising redundancy?
A) 1
B) 2
C) 0
D) 3
3. What does workload distribution offer in an AI infrastructure with local and external resources?
A) restriction of automation to local storage and performance measures
B) distribution of computational tasks across multiple locations
C) enforcement of fixed security policies on distribution endpoints
D) isolation of analytic functions within remote processing clusters
4. When considering a rail-only network design, when would adding spine switches make sense?
A) when needing a greater path redundancy within a single scalable unit
B) when increasing the overall available buffers that spines provide
C) when scaling out to support traffic between multiple scalable units
D) when providing greater overall total bandwidth within a single scalable unit
5. An engineer must monitor congestion, flow latency, and traffic drops using Cisco Nexus Dashboard and chooses to use the Traffic Analytics feature. Which Nexus Dashboard feature is automatically disabled when Traffic Analytics is enabled?
A) Delta Analysis
B) Connectivity Analysis
C) SNMP Traps
D) Flow Telemetry
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |

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