Ncp - AI Operations

NCP-AIO

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Question Types
Multiple choiceFill in the blankDiagramsCase studies

What's Included

247
Practice Questions
1
Exam Versions
—
Languages
Translation Beta
Jun 1, 2023
Release Date
Aug 11, 2025Last Updated

Complete Exam Package

247 NCP-AIO practice questions with detailed explanations

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Exam Details

Duration90 min
Passing Score70%
LevelProfessional
TestingOnline Proctored
Valid For2 years
Release DateJun 1, 2023
Exam Cost$400

What topics are on the NCP-AIO exam?

1

Installation and Deployment 31%

1.1
Mission Control Toolkit
1 subtopics
1.1.1Mission Control Installation
Learning Objectives
  • Install and configure Mission Control toolkit
  • Validate deployment success
  • Troubleshoot installation issues
1.2
Base Command Manager Administration
2 subtopics
1.2.1BCM Deployment and Configuration
1.2.2User Account Management
Learning Objectives
  • Deploy and configure Base Command Manager
  • Manage user accounts and permissions
  • Configure authentication and authorization
1.3
Job Scheduling Systems
2 subtopics
1.3.1Slurm Installation and Configuration
1.3.2Kubernetes Deployment
Learning Objectives
  • Install and configure Slurm for HPC workloads
  • Deploy Kubernetes with GPU support
  • Configure job scheduling policies
1.4
System Configuration
3 subtopics
1.4.1Network Configuration
1.4.2Firmware Updates
1.4.3DOCA Services Deployment
Learning Objectives
  • Configure high-performance networking
  • Manage firmware and driver updates
  • Deploy DOCA services on DPUs
Domain Hands-on Skills
BCM installation and configurationSlurm and Kubernetes deploymentNetwork configuration and optimizationFirmware and driver management
Common Mistakes to Avoid
  • Incorrect network configuration leading to performance issues
  • Version incompatibility between drivers and firmware
  • Improper user permission configuration
2

Administration 23%

3

Workload Management 23%

4

Troubleshooting and Optimization 23%

How do I earn the Ncp - AI Operations certification?

Official Pathway Guidance

Track: AI Infrastructure and Operations

Next Steps

  • Expert LevelNVIDIA Expert Certifications (Coming Soon)

Current Level

  • NCP-AIIAI Infrastructure ProfessionalParallel
  • NCP-AINAI Networking ProfessionalParallel
  • NCP-ADSAccelerated Data Science ProfessionalParallel

Alternative Paths

  • NCA-GenAI-LLMGenerative AI with LLMs Associate
  • NCA-GenAI-MMGenerative AI Multimodal Associate
  • DLI-CoursesDeep Learning Institute Specializations

Career Paths & Salaries

  • AI Infrastructure Engineer
    NCA-AIIONCP-AIONCP-AII
  • MLOps Engineer
    NCA-AIIONCP-AIONCP-ADS
  • Data Center Administrator
    NCA-AIIONCP-AIONCP-AIN
  • AI Solution Architect
    NCP-AIONCP-AIINCP-AINNCP-ADS

Certification Maintenance

  • Recertification Options:
    Retake the current exam versionPass a higher-level certificationComplete continuing education requirements (when available)

How do I study for the NCP-AIO Exam?

Practice the Ncp - AI Operations with our Exam Simulator

Free practice questions, exam guides, and real exam‑style explanations in our Planet Cert simulator.

Official Training

AI Infrastructure & Operations FundamentalsNVIDIA Deep Learning InstituteAI Operations Professional WorkshopNVIDIA Deep Learning Institute

Hands-on Labs

Base Command Manager Essentials LabNVIDIA AcademyGPU Virtualization with MIGNVIDIA DLI

Study Tips

  • Focus heavily on Base Command Manager administration as it's core to the exam
  • Gain hands-on experience with both Slurm and Kubernetes cluster management
  • Practice MIG configuration and understand different instance profiles
  • Study NVIDIA Fabric Manager and NVLink/NVSwitch troubleshooting
  • Understand the complete NVIDIA AI Enterprise stack
  • Practice deploying containers from NGC catalog
  • Learn to troubleshoot common GPU infrastructure issues
  • Understand storage and network performance optimization for AI workloads

What's changed on this exam?

Status: ACTIVE

Certification Updates

2024-06-01
Exam content updated to include Blackwell architecture topics
2024-03-15
Added cloud deployment scenarios for GCP and OCI

Technology Coverage

Multi-Instance GPU (MIG)Blackwell Generation

Universal MIG now supports graphics workloads, up to 4 instances on RTX PRO 6000

Released: 2024-09-01
Base Command Manager11.0

New Power Reservation Steering and performance profiles are exam topics

Released: 2024-08-01
NVIDIA AI Enterprise5.0

Integration with Mission Control platform for AI factory operations

Released: 2024-07-01
Run:ai2.15

Enhanced integration with BCM via cm-kubernetes-setup wizard

Released: 2024-06-15
NVIDIA Fabric Manager560

Support for Blackwell NVSwitch and NVLink 5.0

Released: 2024-08-01

Industry Trends

Who should take this exam?

Recommended Experience

  • 2-3 years of operational experience working in a data center with NVIDIA hardware solutions
  • Experience with Linux system administration
  • Knowledge of container technologies (Docker, Kubernetes)
  • Understanding of HPC job scheduling (Slurm)
  • Basic understanding of AI/ML workloads

Experience Level: Intermediate

How do I register & what's the exam fee?

Exam Cost$400 USD
Testing CentersOnline Proctored
Online ProctoringAvailable

How long is the certification valid?

Valid For2 years
Recertification
  • Retake the current version of the exam
  • Pass a higher-level NVIDIA certification exam

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