NVIDIA NCA-AIIO Study Guide
Complete exam prep for the NVIDIA Certified Associate: AI Infrastructure and Operations (NCA-AIIO) — study notes, official course screenshots, architecture diagrams, and field experience from real enterprise AI deployments.
Start with the Exam Overview Jump to Domain 1
What is the NCA-AIIO?
The NVIDIA Certified Associate: AI Infrastructure and Operations exam validates that you can deploy, manage, and optimize GPU-accelerated AI infrastructure at the enterprise scale. It is vendor-issued, proctored online, and recognized across hyperscalers, system integrators, and enterprise IT teams building AI data centers.
| Questions | 50 |
| Duration | 60 minutes |
| Fee | $125 USD |
| Validity | 2 years |
| Format | Online proctored (Pearson VUE) |
Three exam domains
38% ████████████████░░░░░░░░░░ Domain 1 — Essential AI Knowledge
40% ████████████████████░░░░░░ Domain 2 — AI Infrastructure
22% ███████████░░░░░░░░░░░░░░░ Domain 3 — AI Operations
Domain 1 — Essential AI Knowledge (38%)
NVIDIA software stack · Training vs inference · AI/ML/DL fundamentals · Adoption drivers · Use cases · GPU vs CPU · AI lifecycle
Domain 2 — AI Infrastructure (40%)
Hardware requirements · GPU scaling (NVLink/NVSwitch) · Power & cooling · On-prem vs cloud · Cluster components · Networking (InfiniBand/RoCE/Ethernet) · DPU & BlueField · Storage
Domain 3 — AI Operations (22%)
Data center management · Orchestration (Kubernetes/Slurm) · GPU monitoring (DCGM) · Virtualization (MIG/vGPU)
How to use this guide
- Start with Exam Overview — understand the domain weights and study strategy.
- Work through Domains 1 → 2 → 3 — each section has notes, diagrams, and self-check questions.
- Use the NVIDIA Portfolio Reference alongside Domain 2 — it’s the product cross-reference for hardware questions.
- Test yourself with Practice & Glossary — flashcards and original quiz questions before exam day.
- Read Field Notes for real-world context behind the exam topics.
Quick reference — recommended NVIDIA training
Self-paced course: “AI Infrastructure and Operations Fundamentals” (~7 hours on NVIDIA DLI)
Key units mapped to exam domains:
| Unit | Topic | Domain |
|---|---|---|
| 1 | AI Transformation Across Industries | 1.5 |
| 2 | Introduction to Artificial Intelligence | 1.3, 1.4 |
| 4 | Accelerating AI With GPUs | 1.8, 2.1 |
| 5 | AI Software Ecosystems | 1.1, 1.7 |
| 7.1 | Data Center Platform | 2.5 |
| 7.4 | Data Center Transformation with DPUs | 2.10 |
| 8 | Networking for AI | 2.7–2.9 |
| 10–11 | Energy-Efficient Computing | 2.3, 2.6 |
| 12.4 | AI in the Cloud | 2.4 |
| 13 | AI Data Center Management & Monitoring | 3.1, 3.3 |
| 14 | Orchestration, MLOps, and Job Scheduling | 3.2, 3.4 |
CC BY 4.0 · Not affiliated with NVIDIA Corporation · No exam-dump material