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Cisco 300-640 Exam Syllabus Topics:

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

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In addition to our Cisco 300-640 exam questions, we also offer a Cisco Practice Test engine. This engine contains real 300-640 practice questions designed to help you get familiar with the actual 300-640 Exam Pattern. Our Implementing Cisco Data Center AI Infrastructure exam practice test engine will help you gauge your progress, identify areas of weakness, and master the material.

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q63-Q68):

NEW QUESTION # 63
Drag and Drop Question
An organization is deploying an AI/ML infrastructure with multiple network fabrics, each serving a specific purpose. The network architect must match the network fabric type with its primary function. Drag and drop the network fabric types from the left onto the corresponding descriptions on the right.

Answer:

Explanation:


NEW QUESTION # 64
An end customer plans to deploy an AI fabric in a new data center. Their engineers are more familiar with CLI-based networks and require the capability to automate standardized configuration templates and monitor flows for the fabric. Which data center automation tool meets the requirements?

Answer: A

Explanation:
Nexus Dashboard is the Cisco data center automation and operations platform used with Nexus fabrics. It supports standardized fabric configuration through automation templates and provides visibility features such as flow monitoring, making it the appropriate tool for engineers who need CLI-oriented data center fabric operations with automation and telemetry.


NEW QUESTION # 65
An engineer configures Cisco Nexus Dashboard Fabric Controller for AI infrastructure automation. The company wants centralized policy management and simplified fabric provisioning across multiple pods. Which capability provides this benefit?

Answer: B

Explanation:
Intent-based fabric automation simplifies deployment and policy consistency across large AI infrastructures. Nexus Dashboard Fabric Controller automates provisioning, validation, and operational management. Distributed ACLs and local VLAN switching are operational features but do not centralize orchestration. Manual CLI verification is error-prone and unsuitable for rapidly scaling AI environments.


NEW QUESTION # 66
A customer uses Cisco AI Products within Intersight and observes packet drops for RoCEv2 traffic. Which System QoS policy configuration must be deployed to ensure that RoCEv2 traffic is classified as lossless?

Answer: B

Explanation:
RoCEv2 traffic must be mapped to a lossless system class. Enabling the Platinum class and clearing Allow Packet Drops configures that class as lossless, preventing packet drops for RoCEv2 traffic and supporting reliable RDMA communication for AI workloads.


NEW QUESTION # 67
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.)

Answer: A,B

Explanation:
Before adding the X9516 X-Fabric module, the affected X-Series blades must be powered down because the X-Fabric connectivity path requires hardware installation and cannot be safely introduced while the connected compute nodes are running. The UCS PCI Mezzanine cards must also be installed in the blades so they can physically connect through the X-Fabric module to the X580p PCIe nodes for GPU expansion.


NEW QUESTION # 68
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