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Cisco 300-640 Exam Syllabus Topics:

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

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

2. An engineer configures quality of service in the Cisco ACI fabric to connect VAST storage servers. Which combination of attributes must be selected?

A) Congestion Algorithm: Tail Drop
Congestion Notification: Disabled
B) Congestion Algorithm: Weighted Random Early Detection (WRED)
Congestion Notification: Disabled
C) Congestion Algorithm: Tail Drop
Congestion Notification: Enabled
D) Congestion Algorithm: Weighted Random Early Detection (WRED)
Congestion Notification: Enabled

3. A data center is deploying an AI infrastructure for LLM training and model inference. This infrastructure requires high GPU density, low-latency interconnects, and the ability to scale compute resources. When considering the Cisco UCS C885A M8 Rack Server for the deployment, which design aspect is the most critical for achieving optimal performance and scalability in this environment?

A) configuring the server with the minimum amount of RAM to reduce initial costs
B) using the maximum number of CPU cores to support the virtualization overhead
C) selecting the appropriate Nexus Fabric and its configuration to minimize latency
D) implementing a redundant power supply configuration to ensure high availability

4. A Cisco AI infrastructure requires fast convergence after a spine switch failure. Which routing design principle best supports this objective?

A) Equal-cost multipath routing
B) Single-path forwarding
C) Layer 2 loop dependency
D) Static route redistribution

5. 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.)

A) Monitor
B) Explorer
C) GPU Utilization
D) GPU Performance
E) System CPU Utilization

Solutions: