300-640スタディガイドは、多くのメリットと機能を高めます。購入前に300-640テスト問題をダウンロードして自由に試すことができます。当社製品を購入した後、すぐに当社製品を使用できます。選択できる3つのバージョンが用意されており、300-640トレーニング資料を学習して試験を準備するのに20〜30時間しかかかりません。Cisco合格率とヒット率は両方とも高いです。 1年以内に24時間のオンラインカスタマーサービスと無料アップデートを提供しています。そして、300-640試験問題を試してみると、300-640トレーニング資料には多くの利点があることがわかります。
| Section | Weight | Objectives |
|---|---|---|
| AI Infrastructure Security and Compliance | 10% | - Access Control and Authentication - Compliance Considerations - Security Best Practices |
| AI Infrastructure Deployment | 25% | - Cabling and Connectivity - Storage Configuration for AI - GPU Server Configuration - Network Switch Configuration - Hardware Installation and Configuration |
| Cisco AI Infrastructure Architecture | 30% | - Hyperconverged Infrastructure for AI - Storage Architecture Considerations - Cisco UCS AI Infrastructure Solutions - Network Architecture for AI Workloads |
| AI Infrastructure Fundamentals | 15% | - AI Ecosystem Components - AI Infrastructure Requirements - AI Workload Characteristics - GPU Architecture and Types |
| AI Infrastructure Operations | 20% | - Troubleshooting Common Issues - Performance Optimization - Monitoring and Management Tools - Capacity Planning |
最も少ない時間とお金でCisco 300-640認定試験に高いポイントを取得したいですか。短時間で一度に本当の認定試験に高いポイントを取得したいなら、我々TopexamのCisco 300-640日本語対策問題集は絶対にあなたへの最善なオプションです。このいいチャンスを把握して、Topexamの300-640試験問題集の無料デモをダウンロードして勉強しましょう。
質問 # 18
A company is building a network fabric for an AI training cluster that will train large language models. The cluster includes 256 GPUs distributed across 32 servers. Security requirements mandate isolation between different training projects and allowing shared access to a central storage system. Which approach provides the required security isolation and maintains optimal performance for GPU-to-GPU communication?
正解：B
解説：
VXLAN provides scalable network segmentation by assigning separate VNIs to different training projects, preserving isolation without building separate physical fabrics. Group Policy Option adds policy-based control within the VXLAN overlay, allowing controlled shared access to central storage while maintaining high-performance GPU-to-GPU communication across the AI training fabric.
質問 # 19
A data center operator configures telemetry streaming on Cisco Nexus switches. What is the primary operational advantage over traditional SNMP polling?
正解：D
解説：
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.
質問 # 20
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?
正解：D
解説：
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.
質問 # 21
A nationwide grocery chain has deployed Unified Edge to all its locations. Each store has 10 or more surveillance cameras that write approximately 1 Gb per hour. The surveillance retention policy requires maintaining 2 weeks of recording per camera. Which type of cost-effective centralized storage solution must be evaluated with Unified Edge devices to adhere to this policy?
正解：D
解説：
Unified Edge deployments that need centralized, cost-effective retention for large surveillance data volumes should evaluate IP-based shared storage. It provides scalable network-accessible capacity for multiple edge devices without requiring specialized Fibre Channel or InfiniBand infrastructure, making it appropriate for distributed video retention workloads.
質問 # 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.)
正解：B、E
解説：
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.
質問 # 23
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