많은 사이트에서Cisco 인증300-640 인증시험대비자료를 제공하고 있습니다. 그중에서 Pass4Test를 선택한 분들은Cisco 인증300-640시험통과의 지름길에 오른것과 같습니다. Pass4Test는 시험에서 불합격성적표를 받으시면 덤프비용을 환불하는 서비스를 제공해드려 아무런 걱정없이 시험에 도전하도록 힘이 되어드립니다. Pass4Test덤프를 사용하여 시험에서 통과하신 분이 전해주신 희소식이 Pass4Test 덤프품질을 증명해드립니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure Operations and Troubleshooting | 20% | - Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts - Optimize performance, security, and reliability - Implement performance benchmarking and validation - Manage health, logs, and events - Troubleshoot network, compute, storage, and orchestration issues |
| Topic 2: AI Infrastructure Deployment and Data Management | 30% | - Integrate AI frameworks and applications with Cisco infrastructure - Implement data management and lifecycle for AI workloads - Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics - Deploy and manage AI infrastructure with orchestration tools - Configure compute and storage using Cisco UCS: profiles, policies, Intersight |
| Topic 3: AI Infrastructure Fundamentals | 20% | - Explain Cisco AI infrastructure solutions and portfolio - Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring - Describe AI and machine learning concepts - Describe AI use cases in data center environments - Describe types of AI infrastructure: on-premises, cloud, hybrid, edge |
| Topic 4: AI Infrastructure Components and Architecture | 30% | - Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS - Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability - Evaluate power, cooling, and efficiency requirements - Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures - Evaluate hybrid and multi-cloud AI integration |
Pass4Test의 Cisco 300-640덤프는 Cisco 300-640시험문제변경에 따라 주기적으로 업데이트를 진행하여 덤프가 항상 가장 최신버전이도록 업데이트를 진행하고 있습니다.구매한 Cisco 300-640덤프가 업데이트되면 저희측에서 자동으로 구매시 사용한 메일주소에 업데이트된 최신버전을 발송해드리는데 해당 덤프의 구매시간이 1년미만인 분들은 업데이트서비스를 받을수 있습니다.
질문 # 29
A customer is deploying a new AI fabric with all new NVIDIA GPUs and must verify the performance between the nodes in the network. Which tool must be used to validate the customer benchmarks?
정답：A
설명：
NCCL is the standard tool used to validate GPU-to-GPU communication performance in NVIDIA- based AI fabrics. It measures collective communication behavior between GPU nodes, making it appropriate for benchmarking the AI training network performance.
질문 # 30
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：B
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 # 31
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：B
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 # 32
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：C,D
설명：
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.
질문 # 33
A Cisco AI environment requires synchronized packet processing timestamps across network devices for analytics accuracy. Which protocol should be deployed?
정답：B
설명：
Precision Time Protocol (PTP) provides highly accurate clock synchronization required for latency-sensitive AI and analytics environments. NTP offers lower precision suitable for general IT systems. FTP and DNS are unrelated to time synchronization.
질문 # 34
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만약 여러분은Cisco 300-640인증시험취득으로 이 치열한 IT업계경쟁 속에서 자기만의 자리를 잡고, 스펙을 쌓고, 전문적인 지식을 높이고 싶으십니까? 하지만Cisco 300-640패스는 쉬운 일은 아닙니다.Cisco 300-640패스는 여러분이 IT업계에 한발작 더 가까워졌다는 뜻이죠. 하지만 이렇게 중요한 시험이라고 많은 시간과 정력을 낭비할필요는 없습니다. Pass4Test의 완벽한 자료만으로도 가능합니다. Pass4Test의 덤프들은 모두 전문적으로 IT관련인증시험에 대하여 연구하여 만들어진것이기 때문입니다.
300-640높은 통과율 인기 덤프문제: https://www.pass4test.net/300-640.html