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Cisco 300-640 Exam Syllabus Topics:

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

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Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions (Q18-Q23):

NEW QUESTION # 18
A network operations team deploys HyperFabric AI and wants to monitor fabric health to proactively identify performance issues. The team must track metrics specifically relevant to AI training workloads. Which metric is most critical for identifying congestion issues that could impact AI training performance in a HyperFabric AI deployment?

Answer: D

Explanation:
PFC pause frame transmission rate is the key congestion indicator for lossless Ethernet fabrics used by AI training workloads. A high or increasing pause frame rate shows that interfaces are experiencing congestion and applying flow control, which can directly affect GPU-to-GPU communication performance in a HyperFabric AI environment.


NEW QUESTION # 19
Drag and Drop Question
An engineer must configure vNIC templates for a UCS X-Series deployment. Drag and drop the policy types from the left onto the corresponding configuration settings on the right. Not all options are used.

Answer:

Explanation:


NEW QUESTION # 20
A network engineer must secure management access to Cisco Nexus AI switches. Which protocol should replace Telnet to provide encrypted administrative sessions?

Answer: A

Explanation:
SSH provides encrypted remote management sessions and protects credentials and configuration traffic from interception. Telnet transmits data in plaintext and is unsuitable for secure AI data center environments. FTP and TFTP are file transfer protocols, while SNMPv1 lacks modern security protections.


NEW QUESTION # 21
A Cisco Nexus switch experiences head-of-line blocking in an RDMA environment. Which mechanism is most effective in reducing this condition?

Answer: B

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 # 22
A Cisco UCS C885A M8 server contains a GPU sled configured with six power supply units (PSUs) in an N+2 redundancy configuration. The workload on the GPU sled is currently drawing a load of 4500W. Using Power Save Mode, how many PSUs can be placed into standby mode to improve power efficiency without compromising redundancy?

Answer: D

Explanation:
With six PSUs in an N+2 configuration and a 4500W load, at least two PSUs must remain available to carry the active workload, and two additional PSUs must remain available to preserve redundancy. Therefore, four PSUs must stay active, allowing two PSUs to be placed into standby mode for power efficiency without compromising the N+2 redundancy requirement.


NEW QUESTION # 23
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