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Cisco 300-640 Exam Syllabus Topics:

Section	Weight	Objectives
AI Infrastructure Fundamentals	20%	- Explain Cisco AI infrastructure solutions and portfolio - Describe AI use cases in data center environments - Describe AI and machine learning concepts - Describe types of AI infrastructure: on-premises, cloud, hybrid, edge - Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring
AI Infrastructure Operations and Troubleshooting	20%	- Manage health, logs, and events - Troubleshoot network, compute, storage, and orchestration issues - Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts - Optimize performance, security, and reliability - Implement performance benchmarking and validation
AI Infrastructure Components and Architecture	30%	- Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability - Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS - Evaluate power, cooling, and efficiency requirements - Evaluate hybrid and multi-cloud AI integration - Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures
AI Infrastructure Deployment and Data Management	30%	- Configure compute and storage using Cisco UCS: profiles, policies, Intersight - Integrate AI frameworks and applications with Cisco infrastructure - 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

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最新的 CCNP Data Center 300-640 免費考試真題 (Q27-Q32):

問題 #27
A Cisco Nexus switch participates in an AI cluster using ECMP forwarding. Several flows between GPU servers consistently use the same uplink, creating congestion while other links remain underutilized. Which action improves traffic distribution?

A. Enable port security
B. Modify the hashing algorithm
C. Disable hashing
D. Increase MTU size

答案：B

解題說明：
ECMP relies on hashing algorithms to distribute traffic across equal-cost paths. In AI environments, large elephant flows may hash to the same uplink, causing imbalance. Adjusting the hashing method improves entropy and distributes flows more evenly. Increasing MTU improves efficiency but does not rebalance traffic. Port security and disabling hashing are unrelated to load distribution.

問題 #28
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?

A. OSPF
B. HSRP
C. STP
D. BGP EVPN

答案：D

解題說明：
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.

問題 #29
A data center facility experienced a power outage, and the UCS X-Series servers did not restart automatically when power is restored. The configuration must be updated to prioritize these servers to boot as soon as possible to resume their work. Which set of power policy configurations must be used to meet these requirements?

A. Power Profiling: On
Power Priority: Default
Power Restore: Always On
Processor Package Power Limit(PPL): Default
B. Power Profiling: On
Power Priority: High
Power Restore: Immediate
Processor Package Power Limit(PPL): Maximum
C. Power Profiling: On
Power Priority: High
Power Restore: Always On
Processor Package Power Limit(PPL): Default
D. Power Profiling: On
Power Priority: Default
Power Restore: Immediate
Processor Package Power Limit(PPL): Maximum

答案：C

解題說明：
The servers must be configured to power back on automatically after power is restored, so the restore behavior should be set to always power on. Setting the power priority to high ensures these UCS X-Series servers receive priority during power recovery, allowing them to resume workloads as quickly as possible.

問題 #30
Which result is provided through image recognition using AI?

A. scheduling of management tasks during maintenance periods
B. routing of multicast messages across network boundaries
C. anonymization of audit trails for compliance objectives
D. detection and labeling of visual elements from digital sources

答案：D

解題說明：
Image recognition uses AI to analyze digital images or video frames and identify, detect, classify, or label visual elements such as objects, people, patterns, or scenes.

問題 #31
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.

答案：

解題說明：

問題 #32
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