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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.

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NVIDIA AI Infrastructure Sample Questions (Q58-Q63):

NEW QUESTION # 58
During cluster validation, the Cable Validation Tool (CVT) reports "Underperforming (BER)" for an InfiniBand link. Which BER thresholds indicate a critical signal quality issue requiring cable replacement?

A. Effective BER > 0 during the first 125 minutes of link operation
B. Raw BER > 1e-6 or Effective BER> 1.5E-254 for ≤6hr measurements
C. Temperature > 85 °C on transceiver module
D. Rx power variance > 3dB between lanes

Answer: B

Explanation:
CVT marks a link as critically underperforming when the raw BER exceeds the acceptable physical-layer threshold or when the effective BER exceeds the defined long-window threshold.
These values indicate a signal integrity problem severe enough to require cable inspection and likely replacement.

NEW QUESTION # 59
You are planning the network infrastructure for a DGX SuperPOD. You need to ensure that the network fabric can handle the high bandwidth and low latency requirements of A1 training workloads. Which network technology is the RECOMMENDED choice for interconnecting the DGX nodes within the SuperPOD, and why?

A. InfiniBand, due to its high bandwidth, low latency, and RDMA support.
B. Wi-Fi 6, for wireless connectivity and flexibility.
C. 10 Gigabit Ethernet, for a balance between cost and performance.
D. Token Ring, because it's a reliable and deterministic networking protocol.
E. Gigabit Ethernet, because it's widely available and inexpensive.

Answer: A

Explanation:
InfiniBand is the recommended network technology for DGX SuperPODs due to its high bandwidth, low latency, and support for RDMA (Remote Direct Memory Access). RDMA allows GPIJs to directly access each other's memory without involving the CPU, significantly reducing latency and improving performance for distributed A1 training workloads. Ethernet, even at higher speeds, generally doesn't offer the same level of performance and RDMA capabilities as InfiniBand.

NEW QUESTION # 60
You encounter a situation where an NVIDIA driver installation fails with the error message 'ERROR: Unable to load the kernel module 'nvidia.ko'. This may be because it was built for another kernel...'. Assuming the kernel headers are correctly installed, what is the most likely cause and solution?

A. The NVIDIA driver version is incompatible with the current kernel version. Solution: Install a compatible driver version.
B. Secure Boot is enabled, and the NVIDIA kernel module is not signed. Solution: Sign the NVIDIA kernel module with a machine owner key (MOK).
C. The DKMS module build failed. Solution: Manually rebuild the DKMS module using 'dkms autoinstall'.
D. The system is running out of disk space in '/tmp'. Solution: Free up space or remount S/tmp' with more space.
E. The 'nouveau' driver is still loaded. Solution: Blacklist 'nouveau- and reboot.

Answer: A,B,C

Explanation:
The error message indicates a mismatch between the driver and kernel. This can happen due to incompatibility, unsigned modules due to Secure Boot, or a failed DKMS build. Installing a compatible version, MOK signing, and rebuilding DKMS are valid solutions. While nouveau can interfere, the error message points specifically to a module loading problem, making the other options more likely. Lack of disk space is a less common, but possible, issue.

NEW QUESTION # 61
A system administrator noticed a failure on a DGX H100 server. After a reboot, only the BMC is available.
What could be the reason for this behavior?

A. A boot disk has failed.
B. Multiple GPUs have failed.
C. The network card has no link / connection.
D. There are more than two failed power supplies.

Answer: A

Explanation:
On an NVIDIA DGX system, theBaseboard Management Controller (BMC)is an independent processor that runs even if the main CPU and Operating System fail to load. If a server reboots and the administrator can access the BMC web interface or IPMI console, but the OS (Ubuntu/DGX OS) does not load, the most likely cause is aboot disk failure. The DGX H100 uses NVMe drives in a RAID-1 configuration for the OS boot volume. If both drives in the mirror fail, or if the boot partition becomes corrupted, the system will hang at the BIOS or UEFI prompt, unable to find a bootable device. While failed power supplies (Option D) or network links (Option A) can cause issues, they would typically prevent the BMC from being reachable at all or prevent remote network traffic respectively. A GPU failure (Option C) would not stop the OS from booting; the system would simply boot with a degraded GPU count. Therefore, checking the storage health via the BMC "Storage" logs is the correct diagnostic step.

NEW QUESTION # 62
You have an Intel Xeon Gold server with 2 NVIDIA Tesla VI 00 GPUs. After deploying your A1 application, you observe that one GPU is consistently running at a significantly higher temperature than the other What could be a plausible reason for this behavior?

A. The workload is not evenly distributed between the GPUs, causing one GPU to be more heavily utilized.
B. One GPU is defective and drawing excessive power.
C. The server's airflow is inadequate, causing poor cooling for one of the GPUs.
D. One GPU's driver version is outdated, leading to inefficient power management.
E. The ambient temperature in the server room is higher on one side of the rack.

Answer: A,C

Explanation:
Uneven heat distribution often points to airflow problems or unbalanced workloads. Inadequate airflow can cause localized hotspots. Uneven workload distribution will naturally cause one GPU to work harder and generate more heat. While a defective GPU or driver issues are possibilities, they are less likely than airflow and workload imbalances in this scenario. High ambient temperature is also a contributing factor but less direct.

NEW QUESTION # 63
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