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Cisco 300-640 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Operations | 20% | - Capacity Planning - Monitoring and Management Tools - Troubleshooting Common Issues - Performance Optimization |
| Topic 2: AI Infrastructure Fundamentals | 15% | - AI Infrastructure Requirements - AI Workload Characteristics - AI Ecosystem Components - GPU Architecture and Types |
| Topic 3: AI Infrastructure Deployment | 25% | - Hardware Installation and Configuration - Storage Configuration for AI - Network Switch Configuration - Cabling and Connectivity - GPU Server Configuration |
| Topic 4: AI Infrastructure Security and Compliance | 10% | - Access Control and Authentication - Security Best Practices - Compliance Considerations |
| Topic 5: Cisco AI Infrastructure Architecture | 30% | - Cisco UCS AI Infrastructure Solutions - Storage Architecture Considerations - Network Architecture for AI Workloads - Hyperconverged Infrastructure for AI |
Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:
Question 1
Which result is provided through image recognition using AI?
A. detection and labeling of visual elements from digital sources
B. anonymization of audit trails for compliance objectives
C. routing of multicast messages across network boundaries
D. scheduling of management tasks during maintenance periods
Question 2
Server administrators receive reports of power utilization being near capacity across multiple UCS X-Series servers in the data center after a hardware upgrade. The chassis operates with six power supply units in redundant power mode. How can the administrator use additional power without impacting redundancy?
A. Disable extended power capacity.
B. Implement a power capping policy.
C. Add more power supplies.
D. Enable extended power capacity.
Question 3
Which IP-based storage transport supports flow control between directly connected devices?
A. iSCSI
B. NVMe/TCP
C. NVMe/RoCE
D. Fibre Channel
Question 4
Which components are part of the HyperFabric AI solution?
A. Cisco UCS servers with NVIDIA GPUs, switches, optional VAST Data Storage and cloud- managed networking
B. combination of Cisco networking hardware and software-defined storage designed for AI scalability
C. Cisco UCS servers combined with high-speed networking switches and third-party storage
D. integrated compute and networking hardware optimized for AI workloads, with optional cloud management
Question 5
An engineer is deploying a Cisco AI POD environment to support large-scale AI workloads. The solution must provide a software-defined storage platform with a Disaggregated Shared- Everything architecture, allow compute nodes to run on Cisco UCS C225 M8 servers managed through Cisco Intersight, and deliver exabyte-scale, all-flash performance with integrated high- speed RDMA and GPU Direct Storage capabilities. Which solution meets the requirements?
A. Local NVMe SSDs within each GPU server
B. Pure Storage FlashBlade
C. VAST Data Universal Storage
D. NetApp All-Flash FAS (AFF)
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: A | Question 5 Answer: C |
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