NCP-AIO Administration Practice Question
An administrator is using NVIDIA Base Command Manager to provision a new GPU cluster. They need to ensure that the compute nodes are configured with the correct GPU driver and CUDA toolkit versions. Which Base Command Manager feature should they use to automate this?
⚠ Common exam trap
The trap here is assuming that generic automation tools like Ansible or PXE are sufficient, but Base Command Manager's integrated software image and node group features are specifically designed for this scenario.
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
✓
Node groups with software images
Base Command Manager uses node groups to categorize nodes with similar roles and software requirements. By assigning a software image to a node group, administrators define the exact GPU driver and CUDA toolkit versions. During provisioning, Base Command Manager applies the image, ensuring consistency across compute nodes. This is the intended feature for automating software configuration in a Base Command Manager cluster.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ansible playbooks executed manually
Why it's wrong here
While Ansible can automate software installation, using it manually outside of Base Command Manager does not leverage the built-in provisioning and node group management. It requires separate inventory and playbook maintenance, and it may not synchronize with Base Command Manager's state. The integrated software image feature is designed specifically for this purpose.
- ✓
Node groups with software images
Why this is correct
Base Command Manager allows administrators to define node groups and assign software images that include specific GPU driver and CUDA toolkit versions. During provisioning, nodes in the group automatically receive the defined software stack, ensuring consistency. This automation reduces manual configuration errors and ensures all compute nodes have the correct versions for AI workloads.
- ✗
PXE boot with custom kickstart scripts
Why it's wrong here
PXE boot with kickstart can automate OS installation and package selection, but it is a lower-level mechanism. Base Command Manager abstracts this with software images and node groups, providing a more manageable and repeatable way to define GPU driver and CUDA versions. Custom kickstart scripts would require manual updates and lack the centralized control of Base Command Manager.
- ✗
Cron-based package updates
Why it's wrong here
Cron-based updates can schedule package installations, but they do not integrate with Base Command Manager's provisioning workflow or ensure that the correct driver and CUDA versions are applied during initial node setup. This approach is manual and error-prone, and it does not provide the centralized management and version control that Base Command Manager's software images offer.
About these practice questions
This NCP-AIO question is part of Courseiva's 309-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.