NCP-AIO Troubleshooting and Optimization Practice Question
An AI operations engineer is validating a new NVIDIA-certified server before putting it into production. The job runs correctly but the team wants to confirm that the GPUs are operating at the expected clocks and not being limited by power or thermal constraints. Which command provides the most direct evidence of the current power and thermal limits and any throttling reasons?
⚠ Common exam trap
The trap here is choosing a command that lists GPU inventory or topology, which looks authoritative but contains no clock, power, or throttle information.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
`nvidia-smi -q -d PERFORMANCE`
The performance query reports clocks, performance state, and explicit throttle reason flags such as power cap, thermal slowdown, and hardware limit. That combination gives direct evidence of whether a GPU is constrained and by what. Other commands either report inventory or topology and cannot answer the throttling question.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
`nvidia-smi --query-gpu=name,driver_version --format=csv`
Why it's wrong here
This returns only the GPU product name and driver version. It provides no information about clocks, power, temperature, or throttle reasons. While useful for inventory, it cannot confirm whether the device is running at expected clocks or being constrained by power or thermal limits.
- ✗
`nvidia-smi topo -m`
Why it's wrong here
This command displays the GPU and NIC topology, showing NVLink and PCIe affinity. It is valuable for placement and bandwidth planning but says nothing about clock frequency, power draw, or throttling. It would not reveal whether the GPUs are constrained during the validation run.
- ✗
`nvidia-smi --gpu-reset -i 0`
Why it's wrong here
Resetting the GPU clears its state and interrupts running work; it is a recovery action, not a diagnostic. It does not report clocks, power, or throttle reasons, and performing it on a device in active use could disrupt the validation job. This is inappropriate for gathering performance evidence.
- ✓
`nvidia-smi -q -d PERFORMANCE`
Why this is correct
The performance query section reports the current clocks, the active performance state, and the specific throttle reasons such as power cap, thermal limit, or hardware slowdown. This directly answers whether the GPU is being limited and why, making it the most appropriate single command for this validation step.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official NVIDIA exam blueprint
This NCP-AIO practice question is part of Courseiva's free NVIDIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the NCP-AIO exam.