300-640

300-640 practice questions, page 2 of 3, with answer review and explanations.

Question 6

What does workload distribution offer in an AI infrastructure with local and external resources?

  1. isolation of analytic functions within remote processing clusters
  2. distribution of computational tasks across multiple locations
  3. restriction of automation to local storage and performance measures
  4. enforcement of fixed security policies on distribution endpoints

Question 7

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?

  1. Add the “adaptive-routing” keyword under the switch load balancing configuration.
  2. Set the cisco_dlb=1 option in the NIC configuration so the NIC knows it can use adaptive routing.
  3. Include switch configuration “hardware profile spectrum-x” in global configuration mode.
  4. Include matching statements in your QoS policy so the switch knows which incoming packets to load balance.

Question 8

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?

  1. leaf-spine
  2. flat Layer 2
  3. rail optimized
  4. traditional three-tier

Question 9

A global enterprise is deploying a new AI-driven analytics platform that requires high-performance GPU acceleration, large memory capacity, and robust virtualization support. The current compute environment must co-exist with the newly purposed GPU-enabled workload. This environment will continue to grow, so the customer wants to scale out the resources as needed. Which Cisco product meets the requirements?

  1. UCS X-series
  2. UCS M-series
  3. Unified Edge
  4. UCS C-series Standalone

Question 10

A medium-sized breadmaking operation must deploy a fleet of GPU servers that meet these requirements for their flagship application: policy managed through cloud-based interface low latency between specific pairs of GPUs at least 2 GPUs per server all GPUs should be same modelIntel CPU -well suited for Inferencingcustomer is power consciousWhich server meets the requirements?

  1. C245 M8
  2. X210C M8 with x580 PCIe node
  3. C845A M8
  4. C885A M8