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Training / NCP-AIN

NCP-AIN Study Guide

This landing page centralizes module-level study notes, scenario drills, and command runbooks aligned to the official NCP-AIN exam blueprint and study guide.

Sidebar documentation-style landing page for AI Networking Professional exam prep.

Admin-only · Official NVIDIA blueprint/study guide sources · 6/6 modules published

Recommended Study Priority

Priority Domain Why
Tier 1 NVIDIA Spectrum Networking High-weight implementation domain for Spectrum-X operation, optimization, and secure multi-tenant AI Ethernet fabrics.
Tier 1 NVIDIA InfiniBand Networking High-weight operational domain for UFM-driven deployment, congestion-aware optimization, and secure fabric operations.
Tier 2 Troubleshooting Tools High-value scenario domain focused on layered diagnostics across switches, hosts, and fabric control planes.
Tier 2 Automation and Configuration Configuration-at-scale scope for repeatability, drift control, and controlled rollout in AI networking environments.
Tier 3 AI Data Center Design and Optimization Foundation scope for infrastructure readiness, validation flow, and design correctness before fabric operations.
Tier 3 Kubernetes Integration Low-weight but critical integration scope for GPU platform readiness and CNI-aware orchestration.

Domain 1 - AI Data Center Design and Optimization

Exam Weight: 5%

Core architecture and validation decisions for AI data center readiness, including power/cooling checks and deployment prerequisites.

Domain Overview

Establish data center design intent and pre-flight validation so downstream network operations are stable and measurable.

Objectives

  • Describe architecture and technologies of AI data center.
  • Validate AI data center by using command line (CLI).
  • Validate power and cooling parameters by using command line (CLI).
  • Validate storage and network architecture for deployment.
Open module page Tier 3

Domain 2 - NVIDIA Spectrum Networking

Exam Weight: 30%

Operate and optimize Spectrum-X with CLI workflows, telemetry, multi-tenancy controls, and troubleshooting discipline.

Domain Overview

Translate architecture intent into validated Spectrum-X configuration with measurable performance and reliability outcomes.

Objectives

  • Explain architecture and technologies of Spectrum-X.
  • Configure and validate Spectrum-X network by using command line (CLI).
  • Monitor and optimize network by using CloudAI benchmark, SNMP, and Grafana.
  • Configure and validate security and multi-tenant network.
  • Troubleshoot and optimize network performance.
Open module page Tier 1

Domain 3 - NVIDIA InfiniBand Networking

Exam Weight: 30%

Configure, monitor, secure, and troubleshoot InfiniBand fabric for high-throughput AI communication.

Domain Overview

Apply UFM and CLI diagnostics to validate InfiniBand behavior, isolate congestion, and sustain predictable bandwidth.

Objectives

  • Explain architecture and technologies of InfiniBand.
  • Configure and validate InfiniBand network by using UFM.
  • Monitor and optimize network by using command line (CLI).
  • Configure and validate security and multi-tenant network.
  • Troubleshoot and optimize network performance.
  • Troubleshoot and optimize network bottlenecks and congestion.
Open module page Tier 1

Domain 4 - Kubernetes Integration

Exam Weight: 5%

Install and validate Kubernetes infrastructure, GPU Operator workflows, and networking plugin integration for AI workloads.

Domain Overview

Connect networking and orchestration layers so GPU workloads run reliably in Kubernetes environments.

Objectives

  • Describe architecture and technologies of Kubernetes.
  • Install and configure node and software infrastructure for Kubernetes.
  • Install and use NVIDIA GPU Operator in Kubernetes.
  • Describe architecture and configuration of Kubernetes networking plugins and CNIs.
  • Install and configure Kubernetes networking plugin.
  • Use Kubernetes command line (kubectl) for management and diagnostics.
Open module page Tier 3

Domain 5 - Troubleshooting Tools

Exam Weight: 20%

Use switch, host, and fabric tools to isolate failures, optimize performance, and validate benchmark-driven remediation.

Domain Overview

Apply deterministic troubleshooting workflows using command telemetry, packet evidence, and benchmark interpretation.

Objectives

  • Use CM trace, Cumulus Linux command line, and BERT for troubleshooting.
  • Troubleshoot and optimize network performance by using host and switch tools.
  • Troubleshoot and optimize network bottlenecks and congestion.
  • Explain and validate network and infrastructure benchmarking tools.
  • Perform packet-level debugging with tcpdump and interface counters.
Open module page Tier 2

Domain 6 - Automation and Configuration

Exam Weight: 10%

Automate and standardize network configuration workflows with validation gates, drift detection, and rollback-safe operations.

Domain Overview

Use automation tools and CLI workflows to scale operations without losing determinism or policy consistency.

Objectives

  • Use tools to automate and scale configuration tasks.
  • Configure and optimize networking by using command line (CLI).
  • Apply repeatable configuration templates for multi-device rollout.
  • Validate configuration drift and enforce policy compliance.
  • Design rollback-safe change workflows for production environments.
Open module page Tier 2