NCP-AIO Troubleshooting and Optimization Practice Question
Exhibit
nvidia-smi -q -d PERFORMANCE Performance State : P0 Clocks Throttle Reasons : Active Applications Clocks Setting : None SW Power Cap : Active HW Slowdown : Active HW Thermal Slowdown : Active
Refer to the exhibit. An AI administrator investigates why a GPU node is performing significantly slower than expected. Based on the output, what is the most likely cause?
⚠ Common exam trap
Candidates often blame software bottlenecks or outdated drivers when unexpected performance drops occur, failing to check hardware thermal and clock throttling status.
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
✓
The server's cooling system is failing or airflow is restricted.
The exhibit shows 'HW Thermal Slowdown' and 'HW Slowdown' are active. This indicates the GPU hardware is actively reducing its clock frequency to prevent damage due to excessive heat. This is a critical performance issue that requires immediate attention to the data center cooling or physical airflow within the server chassis. Ensuring adequate thermal management is fundamental to maintaining consistent compute performance during heavy training loads.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The GPU driver is outdated and needs a patch.
Why it's wrong here
Outdated drivers would show compatibility warnings or failures in initialization, not hardware-specific thermal slowdown flags. The logs explicitly point to hardware-level thermal events, which are independent of the software driver version. Prioritizing driver updates would ignore the physical cooling problem clearly indicated by the diagnostic tool.
- ✓
The server's cooling system is failing or airflow is restricted.
Why this is correct
The 'HW Thermal Slowdown' status directly confirms that the GPU has reached an internal temperature threshold and is actively reducing performance to lower heat generation. This indicates a physical cooling deficiency, likely caused by obstructed air intakes, failing server fans, or an inadequate data center ambient temperature environment.
- ✗
The power supply unit is malfunctioning.
Why it's wrong here
A failing PSU usually results in system instability, unexpected shutdowns, or power-related throttling flags, not thermal slowdowns. While power issues can cause heat, the logs specifically categorize this as a thermal event. The administrator must focus on cooling infrastructure rather than testing the electrical power delivery system.
- ✗
The workload exceeds the GPU memory capacity.
Why it's wrong here
Exceeding GPU memory capacity causes 'Out of Memory' (OOM) errors, leading to immediate process termination. Memory usage does not cause hardware thermal slowdowns. The exhibit clearly displays performance throttling flags, which are unrelated to the current allocation of VRAM by the running AI training or inference tasks.
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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.