NCP-AIO Troubleshooting and Optimization Practice Question
Exhibit
JSON Policy Configuration:
{
"persistence": "enabled",
"ecc_mode": "enabled",
"compute_mode": "default",
"power_limit_watts": 250
}Refer to the exhibit. The training job is showing intermittent "thermal throttling" warnings. Which configuration change is the most appropriate adjustment?
⚠ Common exam trap
Test-takers frequently assume that lowering the power limit will eliminate thermal throttling without side effects, forgetting that overly restricted wattage can severely degrade training compute performance and extend runtime.
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
✓
Lower the "power_limit_watts" value.
Thermal throttling occurs when the GPU reaches its maximum operating temperature and lowers its clock speed to prevent physical damage. While power limits can be adjusted to reduce heat, simply lowering the limit may negatively impact training performance. Adjusting the power limit to a value that balances thermal overhead with compute requirements is a necessary trade-off to ensure stable, consistent performance during long training runs without hardware damage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set "compute_mode" to "exclusive_process".
Why it's wrong here
Changing the compute mode to exclusive_process prevents multiple processes from sharing the GPU, but it does not address the thermal output of the hardware. The GPU will still generate the same amount of heat, meaning thermal throttling will continue to occur regardless of the process mode.
- ✗
Disable ECC mode to lower the power consumption.
Why it's wrong here
Disabling ECC mode can lead to data corruption in large-scale training jobs, which is unacceptable for model reliability. Furthermore, the power saving from disabling ECC is negligible compared to the total thermal output of the GPU, making this an ineffective strategy for preventing thermal throttling.
- ✓
Lower the "power_limit_watts" value.
Why this is correct
Reducing the power limit directly lowers the heat generated by the GPU. While this may slightly decrease the maximum performance, it prevents the GPU from reaching the thermal trip point, thereby eliminating throttling and ensuring a consistent, albeit slightly lower, performance profile during long-duration training jobs.
- ✗
Set "persistence" to "disabled".
Why it's wrong here
Disabling persistence mode would result in the driver re-initializing the GPU between tasks, adding overhead and increasing latency. It does not reduce the heat generated by the GPU under load and will not prevent thermal throttling during active training operations.
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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.