NCP-AIO Administration Practice Question
Which administrative practice ensures that a cluster is prepared for the arrival of new NVIDIA GPU hardware with minimal downtime?
⚠ Common exam trap
Candidates often assume physical hardware installation alone or container runtime updates are sufficient, overlooking the critical requirement to synchronize the underlying host OS kernel and NVIDIA driver stack.
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
✓
Update the OS and NVIDIA drivers across the cluster.
Maintaining an up-to-date driver and software stack via a robust package management system is the key to minimizing downtime during hardware upgrades. Administrators must ensure that the kernel and driver versions are compatible with the new hardware before it arrives. This proactive preparation is vital for maximizing cluster uptime and ensuring that researchers can immediately begin using the new hardware for their AI experiments without configuration delays.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Wait for the hardware to arrive before checking driver support.
Why it's wrong here
Waiting until the hardware is physically installed to check for compatibility is poor practice. If the current driver version does not support the new GPU, the system will fail to boot or recognize the device, leading to significant downtime that could have been avoided with pre-arrival driver validation and updates.
- ✓
Update the OS and NVIDIA drivers across the cluster.
Why this is correct
Proactively updating the OS and drivers to versions that support the upcoming GPU hardware ensures that when the physical installation occurs, the software stack is ready. This minimizes the time spent troubleshooting driver incompatibilities and allows for a smooth, plug-and-play integration of the new hardware into the production cluster.
- ✗
Manually install every CUDA library on all nodes.
Why it's wrong here
Manual installation on every node is error-prone, inefficient, and does not scale in a modern cluster environment. It leads to configuration drift and inconsistent environments across nodes. Automation tools like Ansible, Terraform, or the NVIDIA GPU Operator should be used instead to ensure consistency and speed across the entire infrastructure.
- ✗
Modify the BIOS settings to ignore PCIe errors.
Why it's wrong here
Ignoring PCIe errors via BIOS configuration is a dangerous practice that can mask serious hardware or connection issues. It does not facilitate hardware upgrades and will likely lead to silent data corruption or system instability. BIOS settings should be configured for performance and safety, not to hide potential hardware communication faults.
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.