Cisco 300-640 인증시험은 최근 가장 핫한 시험입니다. 인기가 높은 만큼Cisco 300-640시험을 패스하여 취득하게 되는 자격증의 가치가 높습니다. 이렇게 좋은 자격증을 취득하는데 있어서의 필수과목인Cisco 300-640시험을 어떻게 하면 한번에 패스할수 있을가요? 그 비결은 바로Fast2test의 Cisco 300-640덤프를 주문하여 가장 빠른 시일내에 덤프를 마스터하여 시험을 패스하는것입니다.
| Section | Weight | Objectives |
|---|---|---|
| AI Infrastructure Operations and Troubleshooting | 20% | - Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts - Optimize performance, security, and reliability - Troubleshoot network, compute, storage, and orchestration issues - Implement performance benchmarking and validation - Manage health, logs, and events |
| AI Infrastructure Deployment and Data Management | 30% | - Integrate AI frameworks and applications with Cisco infrastructure - Configure compute and storage using Cisco UCS: profiles, policies, Intersight - Deploy and manage AI infrastructure with orchestration tools - Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics - Implement data management and lifecycle for AI workloads |
| AI Infrastructure Fundamentals | 20% | - Describe types of AI infrastructure: on-premises, cloud, hybrid, edge - Explain Cisco AI infrastructure solutions and portfolio - Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring - Describe AI use cases in data center environments - Describe AI and machine learning concepts |
| AI Infrastructure Components and Architecture | 30% | - Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS - Evaluate power, cooling, and efficiency requirements - Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures - Evaluate hybrid and multi-cloud AI integration - Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability |
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질문 # 61
A solutions architect must implement a monitoring strategy for a new AI/ML data center infrastructure built on Cisco UCS X-Series servers with NVIDIA H100 GPUs, managed by Cisco Intersight. The main objectives are to gain deep visibility into GPU performance, identify resource bottlenecks for AI training workloads, and ensure the overall health and efficiency of the compute environment. Which Cisco Intersight capability is most critical for effectively monitoring this AI- centric infrastructure?
정답：A
설명：
Cisco Intersight provides health and performance monitoring for UCS servers, including real-time telemetry and GPU-specific metrics for NVIDIA GPUs. This visibility is essential for identifying bottlenecks, tracking AI training workload behavior, and maintaining the health and efficiency of GPU-accelerated UCS X-Series infrastructure.
질문 # 62
A bank is planning to deploy an AI inference solution at its branch locations. The solution must support workloads that require a balance of compute, memory, and potential GPU acceleration, and it must be suitable for installation by nontechnical onsite resources. The requirements are:
- high availability of the chassis management plane.
- support for up to 768 GB of memory for in-memory model storage and
processing
- remote server launch requiring no on-site IT staff
- use of Cisco Intersight for SaaS-based infrastructure lifecycle
management
Which solution meets the requirements?
정답：C
설명：
Cisco Unified Edge is designed for distributed branch and edge AI deployments that need simplified remote operations through Cisco Intersight. It supports branch-friendly installation, SaaS-based lifecycle management, high-availability chassis management, up to 768 GB of memory, and balanced compute resources for inference workloads that may require GPU acceleration.
질문 # 63
During validation testing, an engineer observes microbursts causing packet drops on GPU uplinks. Which monitoring capability best detects short-duration congestion events?
정답：C
설명：
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.
질문 # 64
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?
정답：B
설명：
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.
질문 # 65
A data center operator configures telemetry streaming on Cisco Nexus switches. What is the primary operational advantage over traditional SNMP polling?
정답：D
설명：
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.
질문 # 66
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Cisco 300-640인증은 아주 중요한 인증시험중의 하나입니다. Fast2test의 베터랑의 전문가들이 오랜 풍부한 경험과 IT지식으로 만들어낸 IT관연인증시험 자격증자료들입니다. 이런 자료들은 여러분이Cisco인증시험중의300-640시험을 안전하게 패스하도록 도와줍니다. Fast2test에서 제공하는 덤프들은 모두 100%통과 율을 보장하며 그리고 일년무료 업뎃을 제공합니다
300-640시험대비 공부자료: https://kr.fast2test.com/300-640-premium-file.html