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Cisco 300-640 Exam Syllabus Topics:

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

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

NEW QUESTION # 63
A Cisco AI environment requires synchronized packet processing timestamps across network devices for analytics accuracy. Which protocol should be deployed?

Answer: D

Explanation:
Precision Time Protocol (PTP) provides highly accurate clock synchronization required for latency-sensitive AI and analytics environments. NTP offers lower precision suitable for general IT systems. FTP and DNS are unrelated to time synchronization.


NEW QUESTION # 64
An administrator configures VXLAN EVPN in a Cisco AI data center fabric. The requirement is to provide Layer 2 adjacency across multiple leaf switches while maintaining scalable control-plane learning. Which protocol fulfills this function?

Answer: D

Explanation:
BGP EVPN provides scalable control-plane MAC and IP route advertisement for VXLAN fabrics.
It eliminates excessive flooding associated with traditional Layer 2 networks and supports efficient multi-tenant AI infrastructures. STP only prevents loops, OSPF is a Layer 3 routing protocol, and HSRP provides gateway redundancy rather than overlay endpoint learning.


NEW QUESTION # 65
How does RAG enhance the capabilities of LLMs?

Answer: B

Explanation:
RAG enhances LLMs by retrieving relevant external or proprietary information at generation time and using that context to produce more accurate, current, and domain-specific responses without changing the model's core parameters.


NEW QUESTION # 66
A network architect wants to provide high availability for AI compute nodes connected to dual Cisco Nexus switches. Which technology enables active-active uplink forwarding without STP blocking?

Answer: A

Explanation:
Virtual Port Channel (vPC) allows devices to use active-active uplinks across two Nexus switches while avoiding spanning-tree blocking. This increases bandwidth utilization and resiliency for AI clusters. GLBP and VRRP provide gateway redundancy, while PVST+ still relies on blocking redundant paths.


NEW QUESTION # 67
During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?

Answer: D

Explanation:
Microbursts occur within milliseconds and are often missed by traditional monitoring methods.
High-frequency streaming telemetry provides granular visibility into queue depth, drops, and latency conditions in real time. Hourly exports and infrequent manual inspection cannot reliably detect transient AI fabric congestion events.


NEW QUESTION # 68
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