NCP-AIO Installation and Deployment Practice Question
Which component in the NVIDIA AI Enterprise stack is responsible for providing the necessary user-space libraries and binaries to run GPU-accelerated applications inside containers?
⚠ Common exam trap
Candidates often confuse the NVIDIA driver itself with the Container Toolkit. They assume drivers alone allow containers to access GPU hardware, ignoring the necessary user-space library mapping provided by the toolkit.
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
✓
NVIDIA Container Toolkit
The NVIDIA Container Toolkit is essential because it allows the container runtime to interact with the host's NVIDIA drivers. It provides the necessary libraries and the container runtime wrapper to expose GPUs inside the container environment. Without this toolkit, applications inside a container cannot access the GPU hardware, even if the host has the correct drivers installed, making it a critical deployment component.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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NVIDIA GPU Operator
Why it's wrong here
The GPU Operator is an orchestration tool used to manage the installation of drivers and runtimes. It is not the component that provides the user-space libraries directly to the containerized application; rather, it ensures the infrastructure is configured so that those libraries can be correctly mounted into the containers.
- ✓
NVIDIA Container Toolkit
Why this is correct
The NVIDIA Container Toolkit is specifically designed to provide the libraries and binaries required for containerized applications to perform GPU acceleration. It includes the runtime hook that makes the GPU visible to the container environment, ensuring the application can utilize the hardware for compute or graphics tasks.
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NVIDIA License System
Why it's wrong here
The NVIDIA License System is used for managing software entitlements and feature activation for licensed NVIDIA software products. It has no role in providing GPU hardware access or user-space libraries to containerized applications. It functions entirely as a separate management layer for software licensing compliance and entitlement tracking.
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NVIDIA Unified Fabric Manager
Why it's wrong here
The Unified Fabric Manager is designed for managing high-performance networking fabrics, such as InfiniBand. It is focused on network topology, routing, and performance monitoring. It does not play any role in the exposure of GPU hardware or user-space libraries to local containerized applications running on a single compute node.
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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.