300-640적중율높은덤프자료, 300-640인기공부자료

Pass4Test는 유일하게 여러분이 원하는Cisco인증300-640시험관련자료를 해결해드릴 수 잇는 사이트입니다. Pass4Test에서 제공하는 자료로 응시는 문제없습니다, 여러분은 고득점으로 시험을 통과할 것입니다.

Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Infrastructure Operations20%- Performance Optimization
- Monitoring and Management Tools
- Troubleshooting Common Issues
- Capacity Planning
Topic 2: AI Infrastructure Security and Compliance10%- Security Best Practices
- Compliance Considerations
- Access Control and Authentication
Topic 3: AI Infrastructure Deployment25%- Hardware Installation and Configuration
- GPU Server Configuration
- Network Switch Configuration
- Storage Configuration for AI
- Cabling and Connectivity
Topic 4: AI Infrastructure Fundamentals15%- AI Ecosystem Components
- AI Infrastructure Requirements
- GPU Architecture and Types
- AI Workload Characteristics
Topic 5: Cisco AI Infrastructure Architecture30%- Hyperconverged Infrastructure for AI
- Storage Architecture Considerations
- Cisco UCS AI Infrastructure Solutions
- Network Architecture for AI Workloads

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최신 CCNP Data Center 300-640 무료샘플문제 (Q49-Q54):

질문 # 49
An engineer must configure dynamic load balancing (DLB) on a Cisco Nexus 9000 Series Switch AI fabric using a CLI. Which configuration must be implemented for only the odd-numbered interfaces?

정답:A

설명:
Dynamic load balancing is enabled on the selected Cisco Nexus 9000 interfaces by applying the interface-level dlb-interface command. For this deployment requirement, the command is applied only to the odd-numbered interfaces that participate in the DLB configuration.


질문 # 50
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?

정답:D

설명:
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.


질문 # 51
A network architect designs connectivity for a new Cisco AI POD operating in Intersight Managed Mode. To ensure high availability and aggregate bandwidth for external network traffic, a port channel must be established using multiple 100 GbE uplink ports on the fabric interconnects to connect to the upstream core switch infrastructure. Which specific policy, applied through the domain profile, must be modified to define and configure this port channel on the fabric interconnects for the desired uplink connectivity?

정답:A

설명:
In Cisco Intersight Managed Mode, fabric interconnect port roles and uplink port channels are defined in the port policy associated with the UCS domain profile. Modifying the port policy allows the engineer to configure multiple 100 GbE uplink ports as a port channel for aggregated bandwidth and high availability toward the upstream network.


질문 # 52
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:A,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 # 53
A company deploys a Cisco UCS environment to host AI inferencing workloads that demand low latency, high throughput, and efficient resource utilization. Which set of actions must be taken to deploy a high-performance fabric within the Cisco UCS infrastructure?

정답:C

설명:
A dual-fabric design with redundant Cisco Fabric Interconnects provides high availability, bandwidth scale, and resilient server-to-fabric connectivity. Using 100 Gb Ethernet and port- channel uplinks supports the low-latency, high-throughput fabric required for AI inferencing workloads while improving utilization and avoiding single points of failure.


질문 # 54
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