NCP-AIO Installation and Deployment Practice Question
You are troubleshooting a node where the GPU is detected, but the application fails to utilize it. Which log source would provide the most relevant information?
⚠ Common exam trap
Candidates often suggest checking the kernel logs or application code itself, overlooking that the NVIDIA container runtime is the specific layer responsible for bridging the GPU to the containerized application.
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 NVIDIA container runtime logs.
The NVIDIA container runtime logs and the application-level logs are the most important sources. If the GPU is visible to the system but not the application, the issue is likely a driver/runtime mismatch or a library path configuration. Checking these logs allows an administrator to isolate whether the fault is in the container orchestration layer or the application's software environment, which is vital for rapid resolution in production environments.
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 BIOS system event log.
Why it's wrong here
The BIOS event log records hardware-level events such as power-on self-test failures or chassis thermal issues. It contains no information about container runtimes, software libraries, or the status of the GPU inside the operating system or application container, making it irrelevant for debugging software-level GPU utility issues.
- ✓
The NVIDIA container runtime logs.
Why this is correct
The container runtime logs show the interaction between the runtime and the GPU drivers during container instantiation. If the runtime fails to inject the necessary libraries or access the GPU device, these logs will capture the error, which is the most likely cause when a GPU is physically detected.
- ✗
The cluster's physical network switch logs.
Why it's wrong here
Network switch logs track traffic and port status on the physical network. They have no visibility into the internal state of a compute node's GPU or the software runtime environment of a container. Investigating switch logs for an application-level GPU utilization issue is a misdirection of troubleshooting effort.
- ✗
The local NTP synchronization logs.
Why it's wrong here
NTP logs track time synchronization between nodes. While time sync is important for distributed training to ensure consistent timestamps across logs, it has no direct influence on whether an application can access the GPU device drivers or libraries. It is entirely unrelated to the functionality of the GPU.
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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.