300-640퍼펙트덤프공부문제, 300-640높은통과율시험덤프자료

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Cisco 300-640 Exam Syllabus Topics:

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

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최신 CCNP Data Center 300-640 무료샘플문제 (Q51-Q56):

질문 # 51
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.)

정답:B,C

설명:
Cisco Intersight provides GPU-focused telemetry for UCS servers, including utilization and performance metrics. These measurements allow the administrator to monitor how heavily the GPUs are being used and whether the AI workload is receiving the expected GPU performance.


질문 # 52
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?

정답:B

설명:
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.


질문 # 53
Which set of statements describes Quantized Congestion Notification?

정답:B

설명:
Quantized Congestion Notification relies on Explicit Congestion Notification as the primary congestion signal so the sender can reduce its transmission rate before packet loss occurs.
Priority Flow Control acts as a safety mechanism if congestion becomes severe, and the congestion notification packet is generated by the receiving host when it receives packets marked with congestion-experienced bits.


질문 # 54
A network engineer is deploying an AI training fabric using Cisco Nexus switches with RoCEv2 enabled. During testing, packet drops occur when traffic bursts exceed buffer capacity. Which feature should be configured to minimize congestion and improve lossless Ethernet performance for GPU traffic?

정답:C

설명:
Priority Flow Control (PFC) allows selective pausing of traffic classes during congestion, which is critical for RoCEv2 environments carrying GPU-to-GPU communication. AI workloads are highly sensitive to packet loss and retransmissions. BPDU Guard and DHCP Snooping are security features, while Storm Control only limits broadcast or multicast traffic and does not create lossless behavior for RDMA traffic.


질문 # 55
A data center team enables jumbo frames in a Cisco AI cluster. What is the primary benefit of increasing the MTU for east-west GPU traffic?

정답:C

설명:
Jumbo frames reduce the number of packets needed to transmit large AI datasets, decreasing CPU interrupts and protocol overhead. This improves throughput and efficiency for GPU communication. Larger MTUs do not directly affect convergence or eliminate buffering, and they typically reduce rather than increase processing overhead.


질문 # 56
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