NVIDIA-Certified Associate

AI Infrastructure and Operations

(NCA-AIIO)

About This Certification
Exam Preparation
Exam Blueprint
Practice Test
Stay Informed

About This Certification
Exam Preparation
Exam Blueprint
Practice Test
Stay Informed

About This Certification

The NCA-AIIO certification is an entry-level credential that validates the foundational concepts of AI computing related to infrastructure and operations. The exam is online and proctored remotely, includes 50 questions, and has a 60-minute time limit.

Please carefully review NVIDIA’s examination policy before scheduling your exam.

If you have any questions, please contact us here.

Important Note: To access the exam, you’ll need to create a Certiverse account.

Certification Exam Details

Duration: One hour

Price: $125

Certification level: Associate

Subject: AI Infrastructure and operations

Number of questions: 50

Prerequisites: A basic understanding of data center infrastructure.

Language: English

Validity: This certification is valid for two years from issuance. Recertification may be achieved by retaking the exam.

Credentials: Upon passing the exam, participants will receive a digital badge and optional certificate indicating the certification level and topic.

Exam Preparation

Topics Covered in the Exam

Accelerated computing use cases
AI, machine learning, and deep learning
GPU architecture
NVIDIA’s software suite
Infrastructure and operation considerations for adopting NVIDIA solutions

Candidate Audiences

Business-line owners
Data center technicians
Delivery and professional services engineers
Developer operations (DevOps) engineers
IT managers
Networking engineers
Sales representatives
Systems administration staff
Solution architects
System architects

Certification Learning Path

AI Infrastructure and Operations Fundamentals

Designed for enterprise professionals, this self-paced course provides invaluable insights into the evolving landscape of AI. Whether you’re a seasoned professional or just beginning your journey into AI, this course is essential for staying ahead in today’s rapidly evolving technological landscape.

The typical time to complete this course is seven hours.

Learn More

Exam Study Guide

Review Study Guide

Exam Blueprint

The table below provides an overview of the topic areas covered in the certification exam and how much of the exam is focused on that subject.

Topic Areas	% of Exam	Topics Covered
Essential AI Knowledge:	38%	Describe the NVIDIA software stack used in an AI environment. Compare and contrast training and inference architecture requirements and considerations. Differentiate the concepts of AI, machine learning, and deep learning. Explain the factors contributing to recent rapid improvements and adoption of AI. Explain the key AI use cases and industries. Explain the purpose and use case of various NVIDIA solutions. Describe the software components related to the life cycle of AI development and deployment. Compare and contrast GPU and CPU architectures.
AI Infrastructure	40%	Identify hardware requirements for specific AI training task use cases Scale a GPU infrastructure for different use cases Identify key concepts, and high-level specifications related to power and cooling requirements within a datacenter Articulate the key advantages, challenges, and considerations related to on-prem vs cloud infrastructures Identify key components and considerations of a cluster of an accelerated infrastructure Identify facility requirements Determine networking requirements for AI workloads Identify and describe DC networking protocols and key concepts Identify high speed DC network options and their use cases Explain the purpose and benefits of a DPU in a datacenter
AI Operations	22%	Describe AI data center management and monitoring essentials. Describe AI cluster orchestration and job scheduling essentials. Articulate the key measures and criteria related to monitoring GPUs. Identify the key considerations for virtualizing accelerated infrastructure.

Practice Questions

Explore sample questions to get familiar with the topics and question styles you may encounter on the certification exam.

Learning Mode

Answer each question and get immediate feedback, including the correct answer, an explanation, and a link to learn more.

Try Practice Questions in Learning Mode

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NVIDIA offers training and certification for professionals looking to enhance their skills and knowledge in the field of AI, accelerated computing, data science, advanced networking, graphics, simulation, and more.

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