NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
๐Ÿ“‹ 2026 Edition  ยท  Updated November 2026

NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Study Guide 2026

Complete exam coverage for the NVIDIA-Certified Professional: AI Infrastructure (NCP-AII): syllabus, domains, key topics, study plan and practical exam preparation strategy.

70-75
Questions
120 min
Duration
Pass/Fail (cut score not published)
Passing score
5
Domains
95%
First-attempt pass rate
47K+
Candidates prepared
4.9โ˜…
Average rating
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Overall readiness (locked)
System and Server Bring-Up
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Physical Layer Management
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Control Plane Installation and Configuration
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Cluster Test and Verification
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Troubleshooting and Optimization
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Exam at a Glance

NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Exam Overview

Key facts about the NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) exam structure, format and scoring.

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nvidia-ncp-aii
Exam code
๐Ÿ“
70-75 questions
Total questions
โฑ
120 minutes
Duration
๐ŸŽฏ
Pass/Fail (cut score not published)
Passing score
๐Ÿ“‹
5 domains
Exam domains
๐Ÿ†
Certification
Credential type
โ„น๏ธ
Scoring method: NVIDIA reports Professional exam results as pass or fail only and does not publish the cut score or a score scale. The certification is valid for two years from issuance and is renewed by retaking the exam.. The exam may include unscored pilot questions - treat every question seriously.
Focus Areas

What should you study for the NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) exam?

Start with the domains that make up the NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) exam. Use the detailed syllabus below to work through the individual topics.

โš ๏ธ
Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
System and Server Bring-Up (31%)
Installing and validating GPU servers, firmware, management interfaces, power, cooling and cabling.
🏗
Physical Layer Management (5%)
Configuring BlueField network platforms and Multi-Instance GPU.
⚡
Control Plane Installation and Configuration (19%)
Installing Base Command Manager, the OS, Slurm and container tooling, and GPU and DOCA drivers.
💰
Cluster Test and Verification (33%)
Validating nodes, cabling, firmware, fabric bandwidth and storage with stress and burn-in tests.
🔄
Troubleshooting and Optimization (12%)
Diagnosing and replacing faulty components and optimizing server and storage performance.
Full Syllabus

NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Exam Syllabus and Topics

The NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) exam is divided into 5 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

Deployment sequence and topology
Deployment and validation sequence
Network topologies for AI factories
Cable types and transceivers
Third-party storage initial parameters
Management and firmware
BMC and out-of-band management configuration
TPM initial configuration
Firmware upgrades on NVIDIA HGX systems
Fault detection during upgrades
Hardware installation and validation
Installing physical GPUs
Installing GPU-based servers and using NVIDIA SMI
Validating power and cooling parameters
Validating installed hardware
Validating hardware operation for workloads
~23 questions
31 marks
31% of exam weight
BlueField network platform
Configuring BlueField DPUs
Managing BlueField firmware and software
BlueField operating modes
Verifying BlueField network configuration
Multi-Instance GPU
Enabling MIG mode
Creating MIG instances and profiles
MIG for AI workloads
MIG for HPC workloads
~4 questions
5 marks
5% of exam weight
Cluster management
Installing and configuring Base Command Manager
Verifying BCM high availability
Operating system installation
Configuring categories and interfaces
Workload stack
Installing Slurm
Enroot and Pyxis for containers in Slurm
NVIDIA Container Toolkit
Using NVIDIA GPUs with Docker
Installing the NGC CLI
Drivers
Installing NVIDIA GPU drivers
Installing DOCA drivers
Updating and removing drivers
Verifying driver versions
~14 questions
19 marks
19% of exam weight
Single-node validation
Single-node stress tests
Running HPL
Single-node NCCL including NVLink Switch verification
ClusterKit multifaceted node assessment
Cabling and firmware verification
Signal quality checks on cables
Confirming correct cabling
Switch firmware and software
BlueField-3 firmware and software
Transceiver firmware
Multi-node and burn-in testing
NCCL east-west fabric bandwidth
NCCL burn-in
HPL burn-in
NeMo burn-in
Storage testing
~25 questions
33 marks
33% of exam weight
Hardware faults
Identifying GPU, fan and network card faults
Identifying faulty cards, GPUs and power supplies
Replacing faulty components
Post-replacement validation
Optimization
Performance optimization on AMD servers
Performance optimization on Intel servers
Storage optimization
Using diagnostics such as DCGM
~9 questions
12 marks
12% of exam weight
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Study Plan

NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan โ†’

Weeks 1-2
Core Services + Highest-Weighted Domain
Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.
Official exam guideDomain 1 completeCore conceptsPractice questions
Week 3
Domain 2 - Hands-on Practice
Focus on scenario-based study and reinforce concepts through practical application where applicable.
Domain 2Scenario walkthroughsHands-on practicePractice questions
Week 4
Domain 3 - Deeper Concepts
Work through complex concepts and decision scenarios.
Domain 3Scenario drillsPractice examReview
Week 5
Remaining Domains + Weak Area Targeting
Identify your weaker domains and spend focused time closing those gaps.
Remaining domainsDiagnosticTargeted reviewStudy notes
Week 6
Full Simulations + Final Preparation
Use timed simulations to test your preparation and review the reasoning behind incorrect answers.
Full mock examsWrong-answer reviewFinal reviewExam logistics
Exam Strategy

Tips to pass NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓
Cluster Test and Verification is the largest domain (33%): practise NCCL tests, HPL and NeMo burn-in, ClusterKit and cabling and firmware checks.
🔍
System and Server Bring-Up (31%) tests order and detail: know the deployment sequence, BMC and TPM setup, HGX firmware upgrades and NVIDIA SMI validation.
⏭
Get hands-on with Base Command Manager, Slurm with Enroot and Pyxis, and the NVIDIA Container Toolkit for the 19% control plane domain.
📊
NVIDIA recommends two to three years of hands-on experience; scenario questions assume you have seen real bring-up and burn-in failures.
🔁
With 70-75 questions in 120 minutes, keep to under two minutes per question and flag long scenarios for review.
Recommended Resources

NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official
Official Exam Guide
Start with the authoritative exam objectives and blueprint.
Practice Tests
NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Practice Test
Practice questions with explanations and domain-level performance analysis.
โ†’ Start free practice test
Mock Exam
NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Mock Exam
Timed preparation under realistic exam-style conditions.
โ†’ Take free mock exam
Training
NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Certification Training
Structured preparation with personalised learning support and adaptive practice.
โ†’ NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) certification online training
AI Tutor
NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) AI Tutor
Get help understanding concepts and work on weak areas with AI-powered learning support.
โ†’ Try NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) AI tutor
Reference
NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Cheat Sheet
Quick-reference summaries for final revision.
โ†’ Get free cheat sheet
Diagnostic
NVIDIA-Certified Professional: AI Infrastructure (NCP-AII) Readiness Test
Assess your preparation and identify weaker exam domains.
โ†’ Check my readiness
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Avoid brain dumps. Sites selling real or stolen exam questions may violate certification-provider rules and can leave candidates studying outdated material.
Reviews

What candidates say after passing

FAQ

Frequently asked questions about NVIDIA-Certified Professional: AI Infrastructure (NCP-AII)

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.
The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.
The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.
Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.
Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.
Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

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