Exam NCP-AIO Topic 1 Question 10 Discussion
Actual exam question for NVIDIA's NCP-AIO exam
Question #: 10
Topic #: 1
Question #: 10
Topic #: 1
You are setting up a multi-tenant Run.ai cluster. Two teams, 'Team Alpha' and 'Team Beta', require access. You want to ensure 'Team Alpha' always has priority access to GPUs and cannot be starved of resources, even when 'Team Beta' submits a large number of jobs.
Which Run.ai configuration option BEST achieves this?
Which Run.ai configuration option BEST achieves this?
Suggested Answer: B,D Vote an answer
Configuring a higher priority within the fair-share scheduler ensures 'Team Alpha' gets preferential access to resources. Additionally, implementing preemption allows 'Team Alpha' to reclaim resources from 'Team Beta' if needed. While node affinity could provide dedicated resources, it doesn't dynamically address resource contention when 'Team Alpha' needs more than its dedicated nodes. Equal quotas and disabling the scheduler do not provide priority. Note that in new run.ai setups, ACM will be configured and you configure fair-share at ACM.
by Athena at Jan 11, 2026, 09:11 AM
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