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Cisco 300-640 Exam Syllabus Topics:

Section	Objectives
Compute and Storage for AI Infrastructure	- Compute architecture 1. GPU-based compute nodes 2. HPC-style scaling considerations - Storage systems 1. High-throughput storage for AI training data 2. Distributed storage concepts
Data Center AI Infrastructure Fundamentals	- AI/ML workload requirements in data centers 1. Compute, GPU, and acceleration concepts 2. Data pipeline and workload characteristics
Data Center Networking for AI Workloads	- Cisco Data Center networking technologies 1. Cisco ACI integration concepts 2. Cisco Nexus platform concepts - High-performance fabric design 1. Leaf-spine architecture in AI environments 2. Low-latency switching and routing considerations
AI Infrastructure Deployment and Operations	- Operations and lifecycle management 1. Performance tuning and optimization 2. Monitoring and observability - Deployment models 1. On-premises AI clusters 2. Hybrid AI infrastructure integration
Security and Governance in AI Data Centers	- Infrastructure security 1. Secure access to AI workloads 2. Network segmentation and policy enforcement

>> 300-640受験準備 <<

Cisco 300-640専門知識、300-640資格準備

従来の見解では、300-640練習資料は、実際の試験に現れる有用な知識を蓄積するために、それらに多くの時間を割く必要があります。ただし、CCNP Data CenterのImplementing Cisco Data Center AI Infrastructure学習に関する質問はその方法ではありません。以前の300-640試験受験者のデータによると、合格率は最大98〜100％です。最小限の時間と費用で試験に合格するのに役立つ十分なコンテンツがあります。 CCNP Data Center準備資料の最新コンテンツで学習できるように、当社の専門家が毎日更新状況を確認し、彼らの勤勉な仕事と300-640専門的な態度が練習資料にImplementing Cisco Data Center AI Infrastructure品質をもたらします。 CCNP Data Centerトレーニングエンジンの初心者である場合は、疑わしいかもしれませんが、参照用に無料のデモが提供されています。

Cisco Implementing Cisco Data Center AI Infrastructure 認定 300-640 試験問題 (Q26-Q31):

質問 # 26
An end customer plans to deploy an AI fabric in a new data center. Their engineers are more familiar with CLI-based networks and require the capability to automate standardized configuration templates and monitor flows for the fabric. Which data center automation tool meets the requirements?

A. Intersight
B. Digital Network Architecture Center
C. Nexus Dashboard
D. HyperFabric

正解：C

解説：
Nexus Dashboard is the Cisco data center automation and operations platform used with Nexus fabrics. It supports standardized fabric configuration through automation templates and provides visibility features such as flow monitoring, making it the appropriate tool for engineers who need CLI-oriented data center fabric operations with automation and telemetry.

質問 # 27
Refer to the exhibit. Users report delayed response times and network latency when running certain AI workloads on a specific Cisco UCS Intersight Managed Mode Domain. Based on the fault message and reported symptoms, which troubleshooting action must be taken first to address the network latency issues?

A. Review the pause frame counters for signs of congestion on Fabric Interconnect B Port 11.
B. Check the physical cabling and SFP+ transceivers on port 11 of switch B for potential hardware failures or incorrect configurations.
C. Review the AI workload configuration to optimize resource allocation (CPU, memory, GPU) for the affected applications.
D. Examine the UCS fabric interconnect configuration for port-channel 11 on Fabric Interconnect B.

正解：B

解説：
The fault shows a receive error statistics threshold crossing on switch B port 11. Because receive errors on a physical interface commonly indicate cabling, transceiver, or physical-layer issues, the first troubleshooting step is to inspect the physical connection and SFP+ components on the affected port before investigating workload or higher-layer configuration.

質問 # 28
An organization deploys Cisco Nexus switches supporting RoCEv2 traffic. Which QoS behavior is most critical to maintain reliable GPU communication?

A. Randomized path selection
B. Strict packet fragmentation
C. Best-effort forwarding
D. Low-latency lossless transport

正解：D

解説：
RoCEv2 depends on low-latency and near-lossless Ethernet transport to maintain efficient RDMA communication. Packet drops trigger retransmissions and significantly degrade AI training performance. Best-effort forwarding cannot guarantee delivery quality, while fragmentation and randomized path selection do not address the primary RDMA requirement.

質問 # 29
Drag and Drop Question
An organization is deploying an AI/ML infrastructure with multiple network fabrics, each serving a specific purpose. The network architect must match the network fabric type with its primary function. Drag and drop the network fabric types from the left onto the corresponding descriptions on the right.

正解：

解説：

質問 # 30
A customer deploys a UCS 885a server in a data center with two power grids. Three of the
3000W power supplies in the server connect to each grid. Due to an external event, one of the grids will be shut down for maintenance. How does the server respond to this event?

A. The server initiates a graceful shut down of the operating system.
B. The server continues to operate at full performance using redundant power supplies, but the PSU status LED glows solid amber.
C. The server operates with reduced performance and caps power to GPUs at 60%.
D. The server immediately shuts down and stops all operations.

正解：C

解説：
With three 3000W power supplies lost from one power grid, the UCS C885A continues operating on the remaining grid but no longer has the full power budget available for maximum GPU operation. The server reduces performance by enforcing power limits, including capping GPU power, so workloads can continue running within the available power capacity.

質問 # 31
......

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