Question 530
During a regional deployment expansion at a media technology business, engineers report the following issue: Operations claim CPU savings without monitoring the offloaded workload. The affected work supports language and visual-content AI services; different workloads compete for shared acceleration and storage. Which TWO responses form the best remediation-and-evidence pair? (Select TWO.)
Explanation
Correct Answers
Correct corrective action. Associate a BlueField DPU with offloading selected networking, storage and security infrastructure work from host CPUs while meeting supported deployment constraints. This fits the specific reported issue: Operations claim CPU savings without monitoring the offloaded workload. The corresponding failure being reduced is: Sending every infrastructure service through application CPUs can increase contention and weaken independent control over infrastructure functions.
Correct independent evidence. A measured offload configuration performs the intended network or security service while preserving application CPU resources and policy. This verifies the corrective approach for the affected language and visual-content AI services instead of treating an architecture diagram alone as success.
Incorrect Answers
Not the most direct the action-and-evidence pair for these facts. GPU duty-cycle telemetry and input pipeline measurements show the intended sustained utilization under a representative training job. This choice concerns training system compute and data feed balance and may be valid in another design. But this case reports 'Operations claim CPU savings without monitoring the offloaded workload', which calls for reasoning about bluefield dpu infrastructure offload. The targeted response is: Associate a BlueField DPU with offloading selected networking, storage and security infrastructure work from host CPUs while meeting supported deployment constraints.
Not the most direct the action-and-evidence pair for these facts. Design a cluster as an integrated compute, storage, networking, orchestration and management system rather than an unordered collection of GPU servers. This choice concerns core components of an accelerated ai cluster and may be valid in another design. But this case reports 'Operations claim CPU savings without monitoring the offloaded workload', which calls for reasoning about bluefield dpu infrastructure offload. The targeted response is: Associate a BlueField DPU with offloading selected networking, storage and security infrastructure work from host CPUs while meeting supported deployment constraints.
Not the most direct the action-and-evidence pair for these facts. Use supported DPU infrastructure functions to separate privileged platform networking or security services from untrusted host workload control when appropriate. This choice concerns dpu isolation and secure infrastructure services and may be valid in another design. But this case reports 'Operations claim CPU savings without monitoring the offloaded workload', which calls for reasoning about bluefield dpu infrastructure offload. The targeted response is: Associate a BlueField DPU with offloading selected networking, storage and security infrastructure work from host CPUs while meeting supported deployment constraints.