NCP-AIO Installation and Deployment Practice Question
A systems administrator is installing the NVIDIA Container Toolkit on a stand-alone server running Ubuntu 22.04 to enable Docker containers to access NVIDIA GPUs. After installation, they run a test container and find that it cannot see the GPU. Which step is most likely missing?
⚠ Common exam trap
The trap here is thinking that installing the toolkit alone is sufficient, when Docker must also be told to use the NVIDIA 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
✓
Configuring the Docker daemon to use the NVIDIA container runtime as the default runtime.
After installing the NVIDIA Container Toolkit, the Docker daemon must be configured to use the NVIDIA container runtime. This involves editing '/etc/docker/daemon.json' to add the runtime and restarting Docker. Without this configuration, containers will not have GPU access, even though the toolkit is installed.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Rebooting the server after installing the toolkit.
Why it's wrong here
While rebooting can sometimes resolve driver or runtime issues, the NVIDIA Container Toolkit installation typically does not require a reboot. The critical step is to configure Docker to use the NVIDIA runtime and restart the Docker daemon. A reboot alone would not configure the runtime, so this is not the most likely missing step.
- ✗
Adding the user to the 'docker' group to run containers with GPU support.
Why it's wrong here
Adding the user to the 'docker' group allows running Docker commands without sudo, but it does not affect GPU access inside containers. GPU access is controlled by the container runtime configuration. Therefore, this step is unrelated to the problem of the container not seeing the GPU.
- ✓
Configuring the Docker daemon to use the NVIDIA container runtime as the default runtime.
Why this is correct
The NVIDIA Container Toolkit requires the Docker daemon to be configured to use the 'nvidia' runtime. This is typically done by adding 'nvidia' to the 'runtimes' section in '/etc/docker/daemon.json' and optionally setting it as the default. Without this configuration, Docker will not use the NVIDIA runtime, and containers will not have GPU access, even if the toolkit is installed.
- ✗
Installing the NVIDIA GPU driver on the host.
Why it's wrong here
The NVIDIA Container Toolkit assumes that the NVIDIA driver is already installed on the host. However, the scenario states that the toolkit was installed and the test container cannot see the GPU. If the driver were missing, the toolkit installation would likely fail or the container would not even start with GPU support. The more immediate missing step after toolkit installation is Docker runtime configuration.
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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.