NCP-AIINVIDIAAI InfrastructureCheat SheetExam Preparation

NVIDIA NCP-AII Cheat Sheet 2026: Key Concepts & Commands

Preporato TeamJuly 9, 202611 min readNCP-AII
NVIDIA NCP-AII Cheat Sheet 2026: Key Concepts & Commands

This is the condensed review layer for NCP-AII: the sequences, signals, and comparisons that exam questions turn on, organized by domain weight. Use it for final-week passes and as a checkpoint while studying. Full explanations live in the domains breakdown, and exam logistics in the complete guide.

Exam Quick Facts

Duration
120 minutes
Cost
$400 USD
Questions
70-75 questions
Passing Score
Not disclosed (aim for 70%+)
Valid For
2 years
Format: Online, remotely proctored via Certiverse

The Deployment Sequence (Bring-up, 31%)

Memorize this as a story with checkpoints, because questions probe what must be true before each step:

  1. Site readiness: power budget, cooling capacity, floor loading validated per rack
  2. Rack and cable: physical installation, cabling against the topology map, labels
  3. Out-of-band management: BMC on its dedicated network, IPMI/Redfish access, TPM configuration
  4. Firmware alignment: BMC, BIOS, GPU, NIC, NVSwitch updated to the qualified matrix, in documented order
  5. OS provisioning: PXE boot from the control plane, node images applied
  6. Drivers and fabric software: GPU driver, container toolkit, Fabric Manager where NVSwitch is present
  7. Validation: burn-in, benchmarks, fabric sweep, version confirmation, then handoff

Key trap: anything managed before an OS exists happens through the BMC. Answers that touch the OS before step 5 are wrong by sequence.

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Validation Toolchain (Test & Verification, 33%)

Validation Tools by Question

You need to...ToolHealthy looks like
Stress a single node / burn-indcgmi diag (escalating levels)All tests pass at the level run
Prove cluster-level performanceHPL benchmarkEfficiency in line with reference architecture
Validate multi-node GPU communicationnccl-tests (all_reduce_perf)Bus bandwidth in expected range, flat across sizes
Check NVLink health per GPUnvidia-smi nvlink -sAll links up at expected width/speed
Check IB link negotiationibstat / ibstatusActive width x-lanes and speed as designed
Sweep the whole fabricibdiagnet / ClusterKitNo symbol errors, no misrouted links
Confirm software stackVersion inventory vs qualified matrixZero skew across nodes

Diagnostic patterns worth memorizing:

  • NCCL bandwidth fine within a node, poor across nodes: inter-node fabric (IB/Ethernet) problem
  • NCCL poor even within a node: NVLink topology or Fabric Manager problem
  • HPL underperforms with healthy GPUs: usually one slow node or degraded link dragging the collective
  • Climbing symbol errors on one port: marginal cable or transceiver, physical layer

Xid Quick Table (Troubleshoot, 12%)

XidMeaningAction class
48Double-bit ECC errorInvestigate memory health; drain and diagnose
63 / 64Row remapping event (HBM)Monitor; plan replacement if recurring
79GPU fell off the busHardware-level: reseat or replace, revalidate
Thermal/power eventsSlowdown or power brake engagedCheck cooling, inlet temps, transient load

DCGM complements the table: health watches for continuous monitoring, dcgmi diag levels for on-demand depth (quick software checks at low levels, long hardware diagnostics at the top). Replacement discipline: drain, confirm, replace, burn-in, revalidate, return to service.

Master These Concepts with Practice

Our NCP-AII practice bundle includes:

  • 7 full practice exams (455+ questions)
  • Detailed explanations for every answer
  • Domain-by-domain performance tracking

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Control Plane Map (19%)

ComponentRole
Base Command ManagerCluster manager: head node provisions and manages all nodes
Node images / categoriesImage-based provisioning for fleet consistency
PXE bootNetwork boot chain that delivers images: DHCP, TFTP, image install
NVIDIA container toolkitExposes GPUs to containers
NGCNVIDIA's registry for containers, models, Helm charts (ngc CLI)
SlurmBatch scheduler; GPUs scheduled via GRES; deployed by BCM
Fabric ManagerManages NVSwitch fabric; required for NVLink fabric operation

Sharing and Physical Layer (5%)

MIG vs vGPU vs Time-Slicing

PropertyMIGvGPUTime-slicing
IsolationHardware-partitioned instancesSoftware-mediated, licensed profilesNone (shared context)
GranularityUp to 7 instances per GPU (e.g. 1g.10gb)Per-profile framebuffer splitArbitrary pod counts
QoS predictabilityStrong (dedicated slices)MediumWeak
ReconfigurationGPU must be idleVM-levelScheduler-level
Best forMulti-tenant inference, hard isolationVDI, workstationsBursty dev/test

BlueField DPU modes: DPU mode (Arm cores own the NIC and run infrastructure services) versus NIC mode (acts as a standard adapter). Exam angle: which mode fits which offload scenario.

Ten Facts Worth Cold Recall

  1. Validation is judged against the reference architecture, so "matches reference efficiency" beats any absolute number
  2. BMC configuration precedes everything OS-related, always
  3. Firmware updates follow the qualified matrix and order, never piecemeal latest-everything
  4. all_reduce_perf bus bandwidth is the standard multi-node communication check
  5. Version skew across nodes is a first-class failure cause in validation scenarios
  6. Xid 79 means hardware attention, no software fix
  7. MIG reconfiguration requires an idle GPU
  8. Fabric Manager must run on NVSwitch systems for NVLink fabric mode
  9. Compute fabric is non-blocking; management and storage networks may be oversubscribed
  10. NGC is the source for qualified containers; the container toolkit is what exposes GPUs to them

Final-Week Usage

Run the sheet top to bottom, mark what produces hesitation, take a timed practice exam, and compare misses against the marks. Repeat until the sheet holds no surprises. Preporato's NCP-AII practice exams provide the measurement half: 7 full-length tests, 455 explained questions, per-domain scoring aligned to the same weights this sheet follows. For sitting strategy, finish with the first-attempt guide.


Sources:

Last updated: July 9, 2026

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