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Cisco 300-640 Exam Syllabus Topics:

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

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q18-Q23):

NEW QUESTION # 18
An engineer configures quality of service in the Cisco ACI fabric to connect VAST storage servers. Which combination of attributes must be selected?

Answer: A

Explanation:
VAST storage integration in a Cisco ACI fabric requires QoS settings that support lossless, congestion-aware Ethernet behavior. Weighted Random Early Detection with congestion notification enabled allows the fabric to signal congestion early through ECN before buffer exhaustion occurs, helping maintain predictable performance for high-throughput storage traffic.


NEW QUESTION # 19
A data center operator configures telemetry streaming on Cisco Nexus switches. What is the primary operational advantage over traditional SNMP polling?

Answer: C

Explanation:
Streaming telemetry continuously exports operational data in near real time, improving visibility and reducing polling overhead compared to SNMP. AI infrastructures require rapid monitoring of congestion and latency conditions. Telemetry does not remove routing tables or require hardware replacement.


NEW QUESTION # 20
A company implements multicast traffic optimization for distributed AI training nodes. Which protocol enables efficient multicast receiver discovery in IPv4 networks?

Answer: C

Explanation:
Internet Group Management Protocol (IGMP) allows hosts to join and leave multicast groups dynamically. This improves multicast efficiency for distributed AI workloads. ARP resolves MAC addresses, while LLDP and CDP are neighbor discovery protocols that do not manage multicast memberships.


NEW QUESTION # 21
A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed. Which Cisco product meets the requirements?

Answer: D

Explanation:
Cisco UCS X-Series is designed for scalable, modular compute environments that support GPU- enabled workloads, high memory capacity, virtualization, and coexistence with existing infrastructure. Its modular architecture allows the enterprise to expand resources as AI workload demands grow.


NEW QUESTION # 22
A server administrator must monitor the performance and utilization of GPUs in Cisco UCS servers running AI workloads. Which two metrics must be used in Cisco Intersight to accomplish these goals? (Choose two.)

Answer: B,C

Explanation:
Cisco Intersight performance monitoring uses resource utilization metrics to identify bottlenecks in AI workloads. Active CPU utilization shows whether host processing is limiting workload execution, while GPU memory utilization shows how effectively GPU memory is being consumed during model processing and training or inference tasks.


NEW QUESTION # 23
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