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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
AI Infrastructure Fundamentals20%- 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 Deployment and Data Management30%- Configure compute and storage using Cisco UCS: profiles, policies, Intersight
- Deploy and manage AI infrastructure with orchestration tools
- Implement data management and lifecycle for AI workloads
- Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics
- Integrate AI frameworks and applications with Cisco infrastructure
AI Infrastructure Components and Architecture30%- Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures
- Evaluate hybrid and multi-cloud AI integration
- Evaluate power, cooling, and efficiency requirements
- Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS
- Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability
AI Infrastructure Operations and Troubleshooting20%- Optimize performance, security, and reliability
- Troubleshoot network, compute, storage, and orchestration issues
- Manage health, logs, and events
- Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts
- Implement performance benchmarking and validation

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Cisco Implementing Cisco Data Center AI Infrastructure 認定 300-640 試験問題 (Q71-Q76):

質問 # 71
A medical company has existing third-party AI servers and NVMe storage, but they want to purchase Cisco network switches with a cloud managed feature for simplicity. Which solution best meets the requirements?

正解：D

解説：
Bring Your Own AI HyperFabric is the best fit when the customer already has third-party AI servers and NVMe storage but wants Cisco 6000 Series switching with simplified cloud-managed fabric operations. The Premier license aligns with the AI-focused HyperFabric use case, while Cisco describes Nexus HyperFabric as a cloud-managed AI infrastructure solution using Cisco
6000 Series switches for AI workloads.


質問 # 72
A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed. Which Cisco product meets the requirements?

正解：C

解説：
Cisco UCS X-Series is designed for scalable, modular compute environments that support GPU- enabled workloads, high memory capacity, virtualization, and coexistence with existing infrastructure. Its modular architecture allows the enterprise to expand resources as AI workload demands grow.


質問 # 73
What is a purpose of Cisco AI PODs?

正解：A

解説：
Cisco AI PODs are designed as integrated, validated full-stack infrastructure solutions that combine compute, networking, storage, and management capabilities to support AI training, fine- tuning, and inferencing workloads with faster deployment and operational consistency.


質問 # 74
A network engineer logs into Nexus Dashboard and sees an anomaly showing that a BGP peer connection has gone down. Next to the anomaly, a yellow bubble displays "Correlated." What does Nexus Dashboard indicate by "Correlated" in this case?

正解：B

解説：
In Nexus Dashboard, a correlated anomaly means the displayed issue is associated with a higher-level root anomaly. The BGP peer-down event is being treated as a resulting or related symptom rather than the primary root cause, helping operators focus troubleshooting on the upstream issue first.


質問 # 75
An Intersight administrator plans to deploy new server solutions to several small branch offices across the country. Each location needs at least one chassis. The servers must have redundant CPUs, memory, and 200 Gbps of unified fabric connectivity per compute node. Which hybrid AI compute solution meets the requirements?

正解：B

解説：
Cisco UCS X-Direct is designed for smaller distributed or branch deployments that still need chassis-based UCS X-Series compute capabilities. It supports redundant compute resources and high-speed unified fabric connectivity, including 200 Gbps per compute node, making it the best fit for hybrid AI workloads across multiple branch office locations.


質問 # 76
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300-640テストトレーニング: https://www.jpexam.com/300-640_exam.html