How difficult is the NCA-AIIO certification exam?

The exam is associate-level and requires only a basic understanding of data center infrastructure. It covers 3 domains: Essential AI Knowledge (38%), AI Infrastructure (40%), and AI Operations (22%). IT professionals with data center experience should find the concepts accessible.

What is the passing score for this certification?

NVIDIA does not publicly disclose the exact passing score. The exam contains 50 questions and candidates have 60 minutes to complete it. We recommend scoring 70%+ consistently on practice tests before scheduling.

How long does the certification remain valid?

The NCA-AIIO certification is valid for 2 years from the date of issuance. To maintain your certification, you must retake and pass the exam before it expires.

What training is recommended to prepare for this exam?

NVIDIA recommends the 'AI Infrastructure and Operations Fundamentals' self-paced course (approximately 7 hours) available on NVIDIA Academy. This course covers the foundational concepts tested on the exam.

Do I need prior NVIDIA certifications to take this exam?

No prerequisite certifications are required. You only need a basic understanding of data center infrastructure.

Is this a good stepping stone to the NCP-AII professional certification?

Yes, the NCA-AIIO associate certification provides the foundational knowledge needed for the NCP-AII (AI Infrastructure Professional) certification. Many candidates pursue NCA-AIIO first before advancing to the professional level.

What is the exam fee?

The exam costs $125 USD. You'll need to create a Certiverse account to register for the exam.

Can I take the exam remotely?

Yes, the exam is delivered online and is remotely proctored via the Certiverse platform.

NVIDIA· Associate

NVIDIA-Certified Associate: AI Infrastructure and Operations

NCA-AIIO

The NCA-AIIO exam tests AI infrastructure and operations fundamentals: GPU architecture, data center design, networking and cluster management, plus essential AI knowledge. On preporato.com you prepare with timed practice exams, an explanation for every question and hands-on labs.

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7 exam-realistic practice tests

420+ questions

Practice exam · NCA-AIIOQ 1 / 65

Correct · explanation

Hands-on

Labs· 18

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# nca-aiio-welcome · step 1

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NVIDIA-Certified Associate: AI Infrastructure and Operations

Qué Incluye

7 exam-realistic practice tests

Labs· 18

Welcome to NCA-AIIO Labs — Schedule Your First GPU Pod

Kubernetes Resource Requests & Limits — Who Gets What, and Who Survives

Inside the NVIDIA GPU Operator — From Helm to Workload-Ready

CUDA Programming Fundamentals

Profile PyTorch Training with the Built-in Profiler

GPU Container Lifecycle: Build, Test, Ship, Rollback

GPU Cost & Efficiency Audit

GPU Health Checks + Auto-Remediation

GPU Observability: From nvidia-smi to a Production Monitoring Stack

GPU Sharing: Streams, MPS, MIG, and the Real Cost of Contention

Nsight Systems Profiling: Finding the Bottleneck That Costs You 40% of Your GPU

Batch Size & Precision Sweep: Finding Your Sweet Spot

PriorityClass & Preemption — Who Survives the GPU Squeeze

Persistent Storage for AI Workloads — PVCs, StorageClass & the Checkpoint Pattern

Workload Controllers — Deployment, StatefulSet, DaemonSet for AI

Rolling Updates, Rollback & Blue-Green for AI Inference

Stuck-Pending Triage Day — Diagnose Any GPU Pod That Won't Run

Multi-GPU-Type Targeting — nodeSelector, nodeAffinity & Tolerations

Projects· 1

Triage a Multi-Tenant GPU Cluster Failing Three Ways at Once

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