Exam Code: NCP-AIO
Exam Name: NVIDIA AI Operations
Certification Provider: NVIDIA
Corresponding Certification: NVIDIA-Certified Professional

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Last Updated: Oct 24, 2026

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NVIDIA NCP-AIO Exam Syllabus Topics:

Topic	Details
Topic 1	Workload Management: This section of the exam measures the skills of AI infrastructure engineers and focuses on managing workloads effectively in AI environments. It evaluates the ability to administer Kubernetes clusters, maintain workload efficiency, and apply system management tools to troubleshoot operational issues. Emphasis is placed on ensuring that workloads run smoothly across different environments in alignment with NVIDIA technologies.
Topic 2	Installation and Deployment: This section of the exam measures the skills of system administrators and addresses core practices for installing and deploying infrastructure. Candidates are tested on installing and configuring Base Command Manager, initializing Kubernetes on NVIDIA hosts, and deploying containers from NVIDIA NGC as well as cloud VMI containers. The section also covers understanding storage requirements in AI data centers and deploying DOCA services on DPU Arm processors, ensuring robust setup of AI-driven environments.
Topic 3	Administration: This section of the exam measures the skills of system administrators and covers essential tasks in managing AI workloads within data centers. Candidates are expected to understand fleet command, Slurm cluster management, and overall data center architecture specific to AI environments. It also includes knowledge of Base Command Manager (BCM), cluster provisioning, Run.ai administration, and configuration of Multi-Instance GPU (MIG) for both AI and high-performance computing applications.
Topic 4	Troubleshooting and Optimization: NVIThis section of the exam measures the skills of AI infrastructure engineers and focuses on diagnosing and resolving technical issues that arise in advanced AI systems. Topics include troubleshooting Docker, the Fabric Manager service for NVIDIA NVlink and NVSwitch systems, Base Command Manager, and Magnum IO components. Candidates must also demonstrate the ability to identify and solve storage performance issues, ensuring optimized performance across AI workloads.

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

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NVIDIA AI Operations Sample Questions:

Question #1

You are tasked with deploying a deep learning framework container from NVIDIA NGC on a stand-alone GPU-enabled server.
What must you complete before pulling the container? (Choose two.)

A. Generate an NGC API key and log in to the NGC container registry using docker login.
B. Install TensorFlow or PyTorch manually on the server before pulling the container.
C. Set up a Kubernetes cluster to manage the container.
D. Install Docker and the NVIDIA Container Toolkit on the server.

Reveal Solution Discussion 0

Correct Answer: A,D 🗳️