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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cisco AI Infrastructure Architecture30%- Hyperconverged Infrastructure for AI
- Cisco UCS AI Infrastructure Solutions
- Storage Architecture Considerations
- Network Architecture for AI Workloads
Topic 2: AI Infrastructure Fundamentals15%- GPU Architecture and Types
- AI Ecosystem Components
- AI Infrastructure Requirements
- AI Workload Characteristics
Topic 3: AI Infrastructure Operations20%- Troubleshooting Common Issues
- Performance Optimization
- Capacity Planning
- Monitoring and Management Tools
Topic 4: AI Infrastructure Deployment25%- Network Switch Configuration
- Storage Configuration for AI
- Hardware Installation and Configuration
- GPU Server Configuration
- Cabling and Connectivity
Topic 5: AI Infrastructure Security and Compliance10%- Security Best Practices
- Access Control and Authentication
- Compliance Considerations

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q11-Q16):

NEW QUESTION # 11
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?

Answer: C

Explanation:
Cisco Unified Edge is designed for distributed branch and edge AI deployments that need simplified remote operations through Cisco Intersight. It supports branch-friendly installation, SaaS-based lifecycle management, high-availability chassis management, up to 768 GB of memory, and balanced compute resources for inference workloads that may require GPU acceleration.


NEW QUESTION # 12
An Intersight administrator plans to deploy new server solutions to several small branch offices across the country. Each location needs at least one chassis. The servers must have redundant CPUs, memory, and 200 Gbps of unified fabric connectivity per compute node. Which hybrid AI compute solution meets the requirements?

Answer: A

Explanation:
Cisco UCS X-Direct is designed for smaller distributed or branch deployments that still need chassis-based UCS X-Series compute capabilities. It supports redundant compute resources and high-speed unified fabric connectivity, including 200 Gbps per compute node, making it the best fit for hybrid AI workloads across multiple branch office locations.


NEW QUESTION # 13
Which aspect of rapid provisioning supports a scalable workload execution in an AI infrastructure?

Answer: D

Explanation:
Rapid provisioning supports scalable AI workload execution by enabling computational platforms to be launched quickly and consistently as workload demand grows. This allows AI infrastructure to add or prepare compute resources efficiently for training, inference, or data-processing tasks.


NEW QUESTION # 14
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?

Answer: D

Explanation:
The NIC must be explicitly configured with the Cisco dynamic load-balancing setting so it recognizes that the connected Cisco Nexus fabric supports adaptive routing. This completes the integration between NIC-side adaptive routing and switch-side per-packet load balancing for optimized AI training traffic.


NEW QUESTION # 15
Which result is provided through image recognition using AI?

Answer: A

Explanation:
Image recognition uses AI to analyze digital images or video frames and identify, detect, classify, or label visual elements such as objects, people, patterns, or scenes.


NEW QUESTION # 16
......

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