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NVIDIA NCP-AII Exam Syllabus Topics:

Topic
Details

Topic 1

Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.

Topic 2

System and Server Bring-up: Covers end-to-end physical setup of GPU-based AI infrastructure, including BMC
OOB
TPM configuration, firmware upgrades, hardware installation, and power and cooling validation to ensure servers are workload-ready.

Topic 3

Control Plane Installation and Configuration: Covers deploying the software stack including Base Command Manager, OS, Slurm
Enroot
Pyxis, NVIDIA GPU and DOCA drivers, container toolkit, and NGC CLI.

Topic 4

Cluster Test and Verification: Covers full cluster validation through HPL and NCCL benchmarks, NVLink and fabric bandwidth tests, cable and firmware checks, and burn-in testing using HPL, NCCL, and NeMo.

Topic 5

Troubleshoot and Optimize: Covers identifying and replacing faulty hardware components such as GPUs, network cards, and power supplies, along with performance optimization for AMD
Intel servers and storage.

NVIDIA AI Infrastructure Sample Questions (Q10-Q15):

NEW QUESTION # 10
Consider a scenario where you want to reset your NVIDIAA100 GPU back to a non-MIG mode state after having previously configured MIG. Which of the following steps are required?

A. Run 'nvidia-smi -set-mig-mode=disable -i , then power off the system and physically remove and re-install the GPU.
B. Run 'nvidia-smi -destroy-mig-config -i 0' , then run 'nvidia-smi -set-mig-mode=disable -i 0', and finally reboot.
C. Run 'nvidia-smi -set-mig-mode=disable -i O' followed by 'nvidia-smi -reset-default-mig-mode -i
D. Run 'nvidia-smi -set-mig-mode=disable -i O', then run 'nvidia-smi -i 0 -migrr 0' , and finally reboot.
E. Run 'nvidia-smi -set-mig-mode=disable -i O' and then reboot the system.

Answer: E

Explanation:
To reset the GPU to non-MIG mode, the command 'nvidia-smi -set-mig-mode=disable -i (Y must be executed, followed by a system reboot. This ensures that the changes are applied during the next boot process. Destroying MIG config is not required to just disable the MIG mode, neither is physically reinstalling the GPU.

NEW QUESTION # 11
A customer reports that after installing an additional NVIDIA GPU into their existing AI server, they are experiencing IOMMU related errors during VM startup that leverage GPU pass-through. The error message indicates a problem with address translation. Which troubleshooting steps should be taken? (Select TWO)

A. Ensure that IOMMIJ is enabled in the BIOS/UEFI, and that the kernel command line includes (for Intel CPUs) or (for AMD CPUs).
B. Reduce the amount of RAM allocated to the VM to avoid exceeding addressable memory limits.
C. Update the motherboard BIOS/UEFI to the latest version, as newer versions often include improved IOMMIJ support and bug fixes.
D. Disable IOMMIJ in the BIOS/UEFI. This resolves the address translation conflicts.
E. Reinstall the NVIDIA drivers within the VM.

Answer: A,C

Explanation:
IOMMU errors often stem from incorrect configuration or outdated firmware. Disabling IOMMU is generally not recommended as it reduces security. Ensuring IOMMIJ is enabled in the BIOS/UEFI and kernel command line is crucial. Updating the BIOS/IJEFI addresses potential bugs in IOMMU implementation. While memory allocation could be a factor, it is not the most likely immediate cause. Reinstalling drivers within the VM is less likely to resolve IOMMU-related errors.

NEW QUESTION # 12
A 24-hour HPL burn-in fails with "illegal value" errors during the first iteration. Which initial troubleshooting step resolves this without compromising burn-in validity?

A. Disable GPU affinity.
B. Verify the matrix size is divisible by block size.
C. Reduce test duration to 12 hours.
D. Switch from FP64 to FP32 precision.

Answer: B

Explanation:
High-Performance Linpack (HPL) is the standard benchmark for stress-testing the computational stability and thermal endurance of an AI cluster. It solves a massive dense system of linear equations, and its mathematical configuration is highly sensitive. The HPL.dat configuration file defines the Problem Size ($N$) and the Block Size ($NB$). A fundamental requirement of the HPL algorithm is that the workload must be distributed evenly across the MPI processes and GPU threads. If the total matrix size $N$ is not an exact multiple of the block size $NB$, or if the grid dimensions ($P imes Q$) do not align with the hardware topology, the solver may encounter an "illegal value" error or a "residual too large" failure at the very beginning of the run. This is a configuration error, not a hardware fault. Reducing the precision (Option A) would invalidate the test, as HPL must run in FP64 to be considered a standard "burn-in." Verifying that $N$ is divisible by $NB$ ensures the mathematical integrity of the test while allowing the hardware to be pushed to its theoretical performance limits.

NEW QUESTION # 13
You are implementing a security policy on a BlueField-2 DPU to filter traffic based on specific application signatures. Which technology, supported by BlueField, allows you to achieve deep packet inspection (DPI) and apply security rules based on the detected application?

A. Netfilter with connection tracking.
B. IPsec (Internet Protocol Security) tunnels.
C. OVS (Open vSwitch) with OpenFlow rules.
D. TC (Traffic Control) with 'iptables' rules.
E. eBPF (extended Berkeley Packet Filter) with XDP (eXpress Data Path).

Answer: E

Explanation:
eBPF with XDP is the most suitable technology for deep packet inspection (DPI) on BlueField. It allows you to run custom code at near-line speed to inspect packets and apply security rules based on application signatures. TC and Netfilter are less efficient for DPI, OVS/OpenFlow are more for switching policies, and IPsec focuses on encryption.

NEW QUESTION # 14
After configuring MIG on an NVIDIAAIOO GPU, you run 'nvidia-smu and observe that all MIG instances are in the 'Disabled' state.
Which of the following are potential reasons for this issue? (Select all that apply)

A. The system's power supply is insufficient.
B. The 'nvidia-persistenced' service is not running.
C. The necessary NVIDIA drivers are not installed or are incompatible with the GPU.
D. The MIG instances are correctly configured but have not been allocated to any processes.
E. The GPU is not in MIG mode.

Answer: B,C,E

Explanation:
MIG instances being in a 'Disabled' state indicates a fundamental problem with the MIG configuration. Incompatible drivers (A) will prevent the instances from being properly initialized. If the GPU is not explicitly placed into MIG mode (B), no MIG instances will be available. The 'nvidia-persistenced' service (D) ensures that driver state persists across reboots, and its absence can cause MIG instances to revert to a disabled state. While unallocated instances (C) will exist, they should be in an 'Idle' state, not 'Disabled'. An insufficient power supply (E) might prevent the GPU from functioning correctly, but it's less likely to specifically cause a 'Disabled' MIG state.

NEW QUESTION # 15
......

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