Cisco 300-640 valid study dumps : Implementing Cisco Data Center AI Infrastructure

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Cisco 300-640 Exam Syllabus Topics:

Cisco Implementing Cisco Data Center AI Infrastructure Sample Questions:

1. Which network design approach should be used to build a high-performance, nonblocking AI/ML data center fabric that supports 64 fully equipped UCS C885A nodes and provides the lowest possible latency and lossless Ethernet?

A) traditional three-tier
B) rail optimized
C) leaf-spine
D) flat Layer 2

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

3. 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 matching statements in your QoS policy so the switch knows which incoming packets to load balance.
C) Add the "adaptive-routing" keyword under the switch load balancing configuration.
D) Include switch configuration "hardware profile spectrum-x" in global configuration mode.

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

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

Solutions: