NVIDIA NCA-AIIO Practice Exam Questions & Answers
7 Free Questions
· Last reviewed: October 20, 2026
· Prepared & Reviewed by the ValidExamDumps Editorial Team
Exam Facts
NVIDIA NCA-AIIO Exam Details
Key details for this exam, checked against the published exam outline
50
Practice Questions (Our Bank)
60 minutes
Exam Duration
USD 125
Official Exam Fee
- Exam Code
- NCA-AIIO
- Full Name
- NVIDIA-Certified Associate: AI Infrastructure and Operations
- Issuing Body
- NVIDIA
- Question Format (Our Bank)
- Multiple Choice
- Delivery
- Online proctored remotely
- Eligibility
- A basic understanding of data center infrastructure
Practice Questions
Free NCA-AIIO Practice Questions
Each question shows the correct answer and an explanation of why it is right
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An IT professional is considering whether to implement an on-prem or cloud infrastructure. Which of the following is a key advantage of on-prem infrastructure?
Correct Answer:
C
Explanation
On-premises infrastructure offers a key advantage in ensuring data security and sovereignty, as organizations retain direct control over hardware and data, facilitating compliance with strict regulations (e.g., GDPR). Cloud solutions excel in scalability and lower upfront costs, but on-prem provides unmatched authority over sensitive data, outweighing remote management ease in security-critical scenarios.
(Reference: NVIDIA AI Infrastructure and Operations Study Guide, Section on On-Prem vs. Cloud Infrastructure)
How many 1 Gb Ethernet in-band network connections are in a DGX H100 system?
Correct Answer:
C
Explanation
The DGX H100 system uses high-speed NVIDIA ConnectX-7 QSFP56 ports (supporting 10 GbE and above) for in-band management and storage traffic, with no 1 Gb Ethernet interfaces allocated to in-band networks. A single 1 GbE RJ45 port exists, but it's reserved for out-of-band Baseboard Management Controller (BMC) tasks, not in-band connectivity.
(Reference: NVIDIA DGX H100 System Documentation, Networking Section)
Which NVIDIA software provides the capability to virtualize a GPU?
Correct Answer:
B
Explanation
NVIDIA vGPU (Virtual GPU) software enables GPU virtualization by partitioning a physical GPU into multiple virtual instances, assignable to virtual machines or containers for accelerated workloads. Horizon is a VMware product, and ''virtGPU'' isn't an NVIDIA offering, confirming vGPU as the correct solution.
(Reference: NVIDIA vGPU Documentation, Overview Section)
How many Mellanox ConnectX-6 Single Port VPI cards are in a DGX A100 system?
Correct Answer:
A
Explanation
The DGX A100 system includes eight Mellanox ConnectX-6 Single Port VPI cards, providing high-speed connectivity (up to 200 Gb/s) for clustering and data transfer. These cards support versatile protocols (InfiniBand or Ethernet), enabling robust multi-node AI workloads, with eight being the standard configuration for this system.
(Reference: NVIDIA DGX A100 System Documentation, Networking Section)
The foundation of the NVIDIA software stack is the DGX OS. Which of the following Linux distributions is DGX OS built upon?
Correct Answer:
A
Explanation
DGX OS, the operating system powering NVIDIA DGX systems, is built on Ubuntu Linux, specifically the Long-Term Support (LTS) version. It integrates Ubuntu's robust base with NVIDIA-specific enhancements, including GPU drivers, tools, and optimizations tailored for AI and high-performance computing workloads. Neither Red Hat nor CentOS serves as the foundation for DGX OS, making Ubuntu the correct choice.
(Reference: NVIDIA DGX OS Documentation, System Requirements Section)
When using an InfiniBand network for an AI infrastructure, which software component is necessary for the fabric to function?
Correct Answer:
C
Explanation
OpenSM (Open Subnet Manager) is essential for InfiniBand networks, managing the fabric by discovering topology, configuring switches and host channel adapters (HCAs), and handling routing. Without it, the fabric cannot operate. Verbs is an API for RDMA, and MPI is a communication protocol, but OpenSM is the critical software component for functionality.
(Reference: NVIDIA Networking Documentation, Section on InfiniBand Subnet Management)
What NVIDIA tool should a data center administrator use to monitor NVIDIA GPUs?
Correct Answer:
C
Explanation
The NVIDIA Data Center GPU Manager (DCGM) is the recommended tool for data center administrators to monitor NVIDIA GPUs. It provides real-time health monitoring, telemetry (e.g., utilization, temperature), and diagnostics, tailored for large-scale deployments. NetQ focuses on network monitoring, and there's no ''NVIDIA System Monitor'' in this context, making DCGM the correct choice. (Note: The document incorrectly lists D; C is intended.)
(Reference: NVIDIA DCGM Documentation, Overview Section)
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Domain 1: Essential AI knowledge
38%
Understand the NVIDIA software stack and core AI concepts. This domain covers the foundational knowledge of AI, machine learning, and deep learning, including GPU and CPU architecture comparisons and why accelerated computing matters.
Sample questions from this domain above:
Q4Q5
Domain 2: AI Infrastructure
40%
Master the hardware and system architecture needed for AI workloads. Study GPU architecture, data center networking, storage, power management, and virtualization technologies like MIG and vGPU that support multi-tenant AI environments.
Sample questions from this domain above:
Q3Q7
Domain 3: AI Operations
22%
Learn to monitor and manage AI systems at scale. This covers data center management essentials, cluster orchestration and job scheduling, GPU monitoring metrics, and the key considerations for virtualizing accelerated infrastructure.
Sample questions from this domain above:
Q1Q2Q6
FAQ
NCA-AIIO Exam FAQ
Common questions about the exam itself
What background do I need before taking the NCA-AIIO exam?
You need a basic understanding of data center infrastructure. The exam is designed for IT professionals, system administrators, and DevOps engineers new to AI operations. No prior AI or machine learning experience is required, though it helps if you understand how data centers work.
How long is the NCA-AIIO exam and how many questions are on it?
The exam has 50 questions and you have 60 minutes to complete it. The questions are straightforward multiple-choice and multi-select with no long case studies. Most candidates find the pacing manageable once they have studied the material.
What is the passing score for NCA-AIIO?
NVIDIA does not publish an official passing score. The exam is reported as pass/fail only, and you do not receive a detailed numeric score if you pass. Most candidates report needing around 70% to pass based on their experience.
Is NCA-AIIO harder than other entry-level certifications?
NCA-AIIO is considered an associate-level entry point into NVIDIA certifications and is designed to be accessible to IT professionals new to AI infrastructure. The difficulty lies in breadth rather than depth. You need to understand concepts across the full NVIDIA software stack, GPU architecture, and data center operations, which requires covering all three domains thoroughly.
Which domain of NCA-AIIO is hardest and how should I prepare?
The AI Infrastructure domain at 40% of the exam tests hardware and system architecture concepts that many IT professionals find unfamiliar, including GPU partitioning with MIG, NVLink bandwidth reasoning, and virtualization strategies. Focus here by studying actual NVIDIA GPU specifications and data center design scenarios rather than just memorizing definitions.
How long should I study to prepare for NCA-AIIO?
Most candidates with data center backgrounds need 4 to 6 weeks of part-time study. The official AI Infrastructure and Operations Fundamentals course takes about 20 hours. Add practice exams and domain review and plan for 40 to 80 hours total depending on your starting knowledge and learning pace.
How is NCA-AIIO delivered and can I take it from home?
NCA-AIIO is delivered as an online proctored exam using remote proctoring. You can take it from home or your office as long as you meet the system and environment requirements. You will need to create a Certiverse account to access the exam.
How long is the NCA-AIIO certification valid and how do I renew it?
The certification is valid for two years from the date you pass. To renew, you simply retake the exam. There is no separate renewal option. You will receive a digital badge and optional certificate when you pass, which you can share on LinkedIn and professional platforms.
How does NCA-AIIO relate to other NVIDIA certifications?
NCA-AIIO is an entry-level associate certification focused on foundational AI infrastructure knowledge. It is designed as a stepping stone before attempting professional-level NVIDIA certifications that require hands-on experience. If you already work with NVIDIA technologies, you may find it easier. If not, it builds the baseline knowledge you need before advancing.
What jobs does NCA-AIIO prepare me for?
NCA-AIIO targets roles such as data center technicians, systems administrators, DevOps engineers, IT managers, networking engineers, and solution architects. It validates that you understand how to deploy, manage, and operate AI infrastructure in enterprise data centers. The credential is most valuable when combined with hands-on experience in one of these roles.
