300-640模擬トレーリング、300-640模擬試験

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Cisco 300-640 Exam Syllabus Topics:

Section	Weight	Objectives
AI Infrastructure Security and Compliance	10%	- Security Best Practices - Access Control and Authentication - Compliance Considerations
AI Infrastructure Deployment	25%	- GPU Server Configuration - Hardware Installation and Configuration - Network Switch Configuration - Cabling and Connectivity - Storage Configuration for AI
AI Infrastructure Fundamentals	15%	- AI Workload Characteristics - GPU Architecture and Types - AI Ecosystem Components - AI Infrastructure Requirements
AI Infrastructure Operations	20%	- Troubleshooting Common Issues - Monitoring and Management Tools - Performance Optimization - Capacity Planning
Cisco AI Infrastructure Architecture	30%	- Cisco UCS AI Infrastructure Solutions - Storage Architecture Considerations - Network Architecture for AI Workloads - Hyperconverged Infrastructure for AI

>> 300-640模擬トレーリング <<

300-640模擬試験、300-640練習問題

多くの人が300-640試験を非常に重視する必要があります。また、試験に合格することは多くの人にとって簡単なことではないこともわかっています。そのため、多くの人にとって優れた学習方法は非常に重要です。さらに、適切な学習ツールも同様に重要です。300-640リファレンスガイドは、リラックスした状態で試験に合格するのに役立ちます。弊社から300-640認定試験ガイド資料をご紹介します。 300-640学習教材は、300-640試験に合格するのに非常に有用で役立つと考えています。

Cisco Implementing Cisco Data Center AI Infrastructure 認定 300-640 試験問題 (Q52-Q57):

質問 # 52
A financial company plans to deploy an AI training and inference infrastructure to support its customers. The team must use a solution that provides 96 GPUs, aligns with NVIDIA-compliant reference architectures, and enables cloud-based management of the entire on-premises network environment. Which Cisco solution meets the requirements?

A. Cisco Nexus Dashboard deployed in AWS or Azure with Nexus 9000 switches and AI servers on premises
B. Cisco Intersight AI fabric with Nexus 9000 switches and AI servers on premises
C. Cisco HyperFabric AI Small AI Cluster with Cisco 6000 switches and AI servers on premises
D. Cisco HyperFabric AI Medium AI Cluster with Cisco 6000 switches and AI servers on premises

正解：C

解説：
Cisco HyperFabric AI Small AI Cluster matches the 96-GPU requirement because the validated HyperFabric reference architecture uses 12 Cisco UCS C885A M8 servers with NVIDIA HGX for a total of 96 GPUs. Cisco Nexus HyperFabric is also cloud-managed and compliant with NVIDIA Enterprise Reference Architecture, enabling centralized management of the on-premises AI network, GPU servers, and storage.

質問 # 53
A network operations team deploys HyperFabric AI and wants to monitor fabric health to proactively identify performance issues. The team must track metrics specifically relevant to AI training workloads. Which metric is most critical for identifying congestion issues that could impact AI training performance in a HyperFabric AI deployment?

A. spanning tree topology change notifications
B. PFC pause frame transmission rate per interface
C. BGP EVPN route count per leaf switch
D. VXLAN tunnel packet encapsulation rate

正解：B

解説：
PFC pause frame transmission rate is the key congestion indicator for lossless Ethernet fabrics used by AI training workloads. A high or increasing pause frame rate shows that interfaces are experiencing congestion and applying flow control, which can directly affect GPU-to-GPU communication performance in a HyperFabric AI environment.

質問 # 54
A Cisco AI cluster requires segmentation between multiple research teams sharing the same physical infrastructure. Which solution provides scalable tenant isolation?

A. Hub-and-spoke WAN
B. VLAN-only design
C. VXLAN overlays
D. Static NAT

正解：C

解説：
VXLAN overlays provide scalable multi-tenant segmentation using large VNI spaces beyond traditional VLAN limitations. AI infrastructures often support many isolated environments simultaneously. VLAN-only designs have scalability constraints, while WAN topologies and NAT do not provide modern data center tenant segmentation.

質問 # 55
An engineer must configure dynamic load balancing (DLB) on a Cisco Nexus 9000 Series Switch AI fabric using a CLI. Which configuration must be implemented for only the odd-numbered interfaces?

A. Exclude the desired interfaces from DLB with the interface level configuration of no dlb-interface.
B. Create a DLB hardware profile and include the list of desired interfaces.
C. Create a QoS policy that enables DLB and apply that policy to the relevant interfaces.
D. Under the relevant interface-level configuration, add the keyword dlb-interface.

正解：D

解説：
Dynamic load balancing is enabled on the selected Cisco Nexus 9000 interfaces by applying the interface-level dlb-interface command. For this deployment requirement, the command is applied only to the odd-numbered interfaces that participate in the DLB configuration.

質問 # 56
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?

A. vPC
B. PVST+
C. GLBP
D. VRRP

正解：A

解説：
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.

質問 # 57
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