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NVIDIA NCP-AIOL Practice Exam Questions
NVIDIA-Certified Professional – AI Operations (NCP-AIOL)
Total Questions : 160
Update Date : September 11, 2026
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NVIDIA NCP-AIOL Sample Question Answers
Question # 1A Slurm cluster administrator wants to ensure that a job submission script requests exactly 2 GPUs on a single compute node. Which directive should be included in the batch script to correctly specify this GPU resource requirement?
A. #SBATCH --gres=gpu:2
B. #SBATCH --gpus-per-task=2
C. #SBATCH --ntasks=2 --gpu=1
D. #SBATCH --resource=gpu:2
Question # 2
A researcher submits a multi-GPU training job that requests 4 GPUs across 2 nodes using Slurm. The job immediately enters PENDING state and remains there for over an hour despite other single-GPU jobs running successfully. The cluster administrator needs to identify the detailed reason why the job is stuck. Which Slurm command provides the most complete diagnostic information for a specific pending job?
A. squeue -j <job_id>
B. sinfo --all
C. scontrol show job <job_id>
D. sacct -j <job_id>
Question # 3
True or False: On NVIDIA Hopper architecture GPUs (such as the H100), enabling MIG mode requires a GPU reset and the MIG mode setting persists automatically across system reboots without any additional configuration.
A. False — On Hopper GPUs, enabling MIG mode no longer requires a GPU reset to take effect, and MIG mode is not persistent across reboots; it must be re-enabled after each reboot.
B. True — Hopper GPUs require a reset to enable MIG mode, and the setting is stored in GPU InfoROM so it persists across reboots automatically.
C. False — MIG mode on Hopper GPUs requires a full system reboot to activate, and the setting does persist in the InfoROM.
D. True — Hopper GPUs do not require a reset and MIG mode persists across reboots via InfoROM storage.
Question # 4
An administrator needs to enable MIG mode on an NVIDIA A100 40GB GPU and list the available GPU instance profiles before creating instances. Which command should be used to display all supported MIG profiles on the system?
A. nvidia-smi mig -lgip
B. nvidia-smi --query-gpu=mig.mode.current
C. dcgmi mig --list-profiles
D. nvml --show-mig-profiles
Question # 5
An AI platform team at a financial services firm is deploying an NVIDIA A100 80GB GPU to serve multiple concurrent inference workloads for different business units. Each business unit requires guaranteed memory and compute resources and must be isolated from other units so that one workload cannot affect the performance of another. The platform team must configure the GPU to meet these requirements without deploying additional physical hardware. Which approach correctly addresses this requirement?
A. Enable time-sliced GPU sharing so that each business unit's workload receives equal GPU scheduling time on the shared GPU.
B. Enable Multi-Instance GPU (MIG) mode on the A100 and create isolated GPU instances, each with dedicated compute slices, memory bandwidth, and L2 cache allocation.
C. Configure NVIDIA vGPU in pass-through mode to allocate the full GPU to a single virtual machine per business unit.
D. Use CUDA Multi-Process Service (MPS) to allow multiple processes to share the GPU compute engine concurrently.
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