Quiz Useful Cisco - 300-640 - Implementing Cisco Data Center AI Infrastructure Certified Questions

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Cisco 300-640 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Infrastructure Deployment and Data Management30%- Deploy and manage AI infrastructure with orchestration tools
- 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
- Configure high-performance networks for AI: Cisco Nexus, NDFC, lossless fabrics
Topic 2: AI Infrastructure Components and Architecture30%- Evaluate power, cooling, and efficiency requirements
- Evaluate compute requirements: CPU, GPU, NVLink, virtualization, containerization, scalability
- Evaluate network requirements for AI workloads: bandwidth, latency, congestion control, RoCEv2, QoS
- Evaluate hybrid and multi-cloud AI integration
- Evaluate storage requirements: capacity, performance, data pipelines, distributed architectures
Topic 3: AI Infrastructure Operations and Troubleshooting20%- Troubleshoot network, compute, storage, and orchestration issues
- Monitor infrastructure: Nexus Dashboard, Intersight, telemetry, alerts
- Optimize performance, security, and reliability
- Manage health, logs, and events
- Implement performance benchmarking and validation
Topic 4: AI Infrastructure Fundamentals20%- Describe AI use cases in data center environments
- 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
- Explain Cisco AI infrastructure solutions and portfolio

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q68-Q73):

NEW QUESTION # 68
A Cisco Nexus switch experiences head-of-line blocking in an RDMA environment. Which mechanism is most effective in reducing this condition?

Answer: A

Explanation:
Virtual output queuing (VOQ) prevents packets destined for congested outputs from blocking unrelated traffic flows. This is valuable in AI infrastructures where high-bandwidth GPU traffic can overwhelm buffers. WRED manages congestion probabilistically but does not eliminate head-of- line blocking. PortFast and NAT overload are unrelated features.


NEW QUESTION # 69
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?

Answer: B

Explanation:
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.


NEW QUESTION # 70
What is a function of NVLink technology within a high-performance AI server or cluster?

Answer: C

Explanation:
NVLink provides a high-bandwidth, low-latency direct interconnect between GPUs. In AI servers and clusters, it accelerates GPU-to-GPU communication for training and inference workloads by allowing GPUs to exchange data much faster than through standard PCIe paths.


NEW QUESTION # 71
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?

Answer: C

Explanation:
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.


NEW QUESTION # 72
A Cisco AI environment requires synchronized packet processing timestamps across network devices for analytics accuracy. Which protocol should be deployed?

Answer: D

Explanation:
Precision Time Protocol (PTP) provides highly accurate clock synchronization required for latency-sensitive AI and analytics environments. NTP offers lower precision suitable for general IT systems. FTP and DNS are unrelated to time synchronization.


NEW QUESTION # 73
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