300-640考試證照綜述 - 300-640 PDF

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Cisco 300-640 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Infrastructure Operations and Troubleshooting	20%	- Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts - Manage health, logs, and events - Optimize performance, security, and reliability - Troubleshoot network, compute, storage, and orchestration issues - Implement performance benchmarking and validation
Topic 2: AI Infrastructure Components and Architecture	30%	- Evaluate hybrid and multi-cloud AI integration - 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
Topic 3: AI Infrastructure Fundamentals	20%	- Describe core components of AI infrastructure: network, compute, storage, orchestration, monitoring - Describe AI and machine learning concepts - Describe types of AI infrastructure: on-premises, cloud, hybrid, edge - Describe AI use cases in data center environments - Explain Cisco AI infrastructure solutions and portfolio
Topic 4: AI Infrastructure Deployment and Data Management	30%	- 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 - Integrate AI frameworks and applications with Cisco infrastructure - Configure compute and storage using Cisco UCS: profiles, policies, Intersight

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最新的 CCNP Data Center 300-640 免費考試真題 (Q72-Q77):

問題 #72
Which result is provided through image recognition using AI?

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

答案：C

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 #73
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?

A. Storm Control
B. BPDU Guard
C. Priority Flow Control
D. DHCP Snooping

答案：C

解題說明：
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.

問題 #74
A company is building a network fabric for an AI training cluster that will train large language models. The cluster includes 256 GPUs distributed across 32 servers. Security requirements mandate isolation between different training projects and allowing shared access to a central storage system. Which approach provides the required security isolation and maintains optimal performance for GPU-to-GPU communication?

A. Configure QoS-based traffic steering with separate DSCP markings per project and policy-based routing to shared storage.
B. Use VXLAN with separate VNIs per project and Group Policy Option to control granular access to shared storage.
C. Implement port-based VLANs for each project with router ACLs controlling storage access at the distribution layer.
D. Deploy separate physical networks for each project with dedicated switches and cross-connects to shared storage.

答案：B

解題說明：
VXLAN provides scalable network segmentation by assigning separate VNIs to different training projects, preserving isolation without building separate physical fabrics. Group Policy Option adds policy-based control within the VXLAN overlay, allowing controlled shared access to central storage while maintaining high-performance GPU-to-GPU communication across the AI training fabric.

問題 #75
Which function is provided through natural language processing?

A. compression of large configuration files for storage efficiency
B. automated conversion of spoken or written content into structured data
C. annotation of data transmission protocols for device authorization
D. filtration of duplicate entries from transaction records

答案：B

解題說明：
Natural language processing enables systems to interpret, process, and transform human language from spoken or written inputs into structured data that applications can analyze, search, classify, or use for automation.

問題 #76
An engineer deploys an AI fabric on Cisco Nexus 9000 Series Switches connected to Cisco UCS nodes with NVIDIA GPUs. The requirements call for optimal network performance for training workloads. Adaptive routing is enabled on the NICs, and per-packet load balancing is enabled on the switches. Which other configuration must be implemented for this integration to be fully operational?

A. Set the cisco_dlb=1 option in the NIC configuration so the NIC knows it can use adaptive routing.
B. Include switch configuration "hardware profile spectrum-x" in global configuration mode.
C. Include matching statements in your QoS policy so the switch knows which incoming packets to load balance.
D. Add the "adaptive-routing" keyword under the switch load balancing configuration.

答案：A

解題說明：
The NIC must be explicitly configured with the Cisco dynamic load-balancing setting so it recognizes that the connected Cisco Nexus fabric supports adaptive routing. This completes the integration between NIC-side adaptive routing and switch-side per-packet load balancing for optimized AI training traffic.

問題 #77
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