NCP-AIO Installation and Deployment Practice Question
When configuring the NVIDIA Device Plugin for Kubernetes, what is the purpose of the 'time-slicing' configuration?
⚠ Common exam trap
Candidates confuse time-slicing with hardware partitioning (MIG). Time-slicing is software-based context switching, whereas MIG provides true hardware-level isolation of GPU resources.
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
✓
To allow multiple pods to share a single physical GPU through context switching.
Time-slicing is a technique that allows multiple Kubernetes pods to share a single GPU by rapidly switching context between them. In scenarios where full GPU isolation is not required, this increases resource utilization. It is a vital deployment strategy for optimizing cost and efficiency in shared environments, allowing administrators to balance the workload across limited GPU hardware without needing more expensive virtual machine-based partitioning solutions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
To schedule tasks based on the specific time of day for load balancing.
Why it's wrong here
Time-slicing in the context of the NVIDIA Device Plugin has nothing to do with wall-clock scheduling. It refers strictly to the GPU's internal compute sharing mechanism, allowing multiple processes to interleave their work on the GPU hardware, rather than being a tool for job-level scheduling.
- ✗
To increase the GPU's clock frequency during high-demand periods.
Why it's wrong here
Time-slicing does not manipulate the physical clock frequency of the GPU hardware. It is a logical partitioning method designed to maximize throughput by sharing the GPU among multiple tasks, whereas clock frequency management is controlled by power management policies and thermal monitoring systems.
- ✓
To allow multiple pods to share a single physical GPU through context switching.
Why this is correct
Time-slicing enables a physical GPU to be oversubscribed by allowing multiple pods to execute in turns on the same hardware. This increases the utilization of the GPU in scenarios where the individual pods do not require the full dedicated throughput of the entire device at all times.
- ✗
To restrict access to the GPU based on container process priority.
Why it's wrong here
Time-slicing is not a Quality of Service (QoS) or priority enforcement mechanism. It is a scheduling capability designed to provide concurrent access for multiple containers. While it uses round-robin or similar scheduling, it does not prioritize one container over another based on external process settings.
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.