NCP-AIO Troubleshooting and Optimization Practice Question
An AI operations engineer notices that a training job on an NVIDIA A100 GPU is running slower than expected. Running nvidia-smi shows that the GPU is in 'P0' state but the 'SM Clock' is significantly lower than the maximum boost clock. The job is not memory-bound. Which action should the engineer take first to diagnose the issue?
⚠ Common exam trap
The trap here is jumping to application-level optimizations like batch size or precision changes before verifying whether the GPU is simply power-limited or thermally throttled.
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
✓
Check the GPU's power consumption and whether it is hitting the power limit.
When a GPU is in P0 state but SM clock is low, power or thermal throttling is a likely cause. Checking power consumption and limits is a quick, non-invasive diagnostic step. If the GPU is hitting its power limit, the engineer can then adjust power settings or optimize the workload to reduce power draw. The other actions do not directly diagnose the throttling issue.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reinstall the NVIDIA driver to ensure the latest version.
Why it's wrong here
Reinstalling the driver is a drastic measure and unlikely to resolve low SM clock if the GPU is in P0 state and functioning. Driver issues typically manifest as errors or inability to communicate. The symptom points to hardware throttling, so checking power and thermal conditions is more appropriate.
- ✗
Increase the batch size to improve GPU utilization.
Why it's wrong here
Increasing batch size may improve utilization but does not address the low SM clock. If the GPU is throttling due to power or thermal limits, a larger batch could exacerbate the issue by increasing power draw. The first step should be to diagnose the cause of the low clock, not to adjust workload parameters.
- ✗
Switch the job to use mixed precision to reduce compute load.
Why it's wrong here
Mixed precision can speed up training by reducing compute and memory load, but it does not directly address why the SM clock is low. If the GPU is throttling, reducing load might help indirectly, but it is not the primary diagnostic step. The engineer should first identify the throttling cause.
- ✓
Check the GPU's power consumption and whether it is hitting the power limit.
Why this is correct
Low SM clock despite P0 state often indicates power or thermal throttling. Checking power consumption against the configured limit helps determine if the GPU is throttling due to power constraints. This is a common cause of reduced clocks and is a logical first diagnostic step before changing application settings.
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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.