NVIDIA AI Operations : NCP-AIO

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NVIDIA NCP-AIO Exam Syllabus Topics:

Reference: https://www.nvidia.com/en-us/learn/certification/ai-operations-professional/

NVIDIA AI Operations Sample Questions:

Question #1
You are managing a deep learning workload on a Slurm cluster with multiple GPU nodes, but you notice that jobs requesting multiple GPUs are waiting for long periods even though there are available resources on some nodes.
How would you optimize job scheduling for multi-GPU workloads?

A. Set up separate partitions for single-GPU and multi-GPU jobs to avoid resource conflicts between them.
B. Ensure that job scripts use --gres=gpu:<number> and configure Slurm's backfill scheduler to prioritize multi-GPU jobs efficiently.
C. Increase time limits for smaller jobs so they don't interfere with multi-GPU job scheduling.
D. Reduce memory allocation per job so more jobs can run concurrently, freeing up resources faster for multi-GPU workloads.

Question #2
What is the primary purpose of assigning a provisioning role to a node in NVIDIA Base Command Manager (BCM)?

A. To allow the node to manage software images and provision other nodes
B. To configure the node as a container orchestration manager
C. To enable the node to monitor GPU utilization across the cluster
D. To assign the node as a storage manager for certified storage

Question #3
You are monitoring the resource utilization of a DGX SuperPOD cluster using NVIDIA Base Command Manager (BCM). The system is experiencing slow performance, and you need to identify the cause.
What is the most effective way to monitor GPU usage across nodes?

A. Use nvidia-smi on each node to monitor GPU utilization manually.
B. Use the Base View dashboard to monitor GPU, CPU, and memory utilization in real-time.
C. Check the job logs in Slurm for any errors related to resource requests.
D. Run the top command on each node to check CPU and memory usage.

Question #4
Which logging practice is most important in AI operations to enable debugging, auditing, and performance tracking of machine learning models in production systems?

A. Structured logging
B. Minimal logging
C. Random logging
D. Manual logging

Question #5
You are a Solutions Architect designing a data center infrastructure for a cloud-based AI application that requires high-performance networking, storage, and security. You need to choose a software framework to program the NVIDIA BlueField DPUs that will be used in the infrastructure. The framework must support the development of custom applications and services, as well as enable tailored solutions for specific workloads. Additionally, the framework should allow for the integration of storage services such as NVMe over Fabrics (NVMe-oF) and elastic block storage.
Which framework should you choose?

A. NVIDIA NSight
B. NVIDIA TensorRT
C. NVIDIA CUDA
D. NVIDIA DOCA

Solutions: