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NVIDIA NCP-AII Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
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 (Q114-Q119):

NEW QUESTION # 114
Which of the following statements regarding VXLAN (Virtual Extensible LAN) is MOST accurate in the context of data center networking for AI/ML workloads?

A. VXLAN reduces network overhead compared to traditional VLANs.
B. VXLAN is only suitable for small-scale networks due to its limited scalability.
C. VXLAN primarily improves network security by encrypting all traffic.
D. VXLAN provides Layer 2 connectivity across Layer 3 networks, enabling virtual machine mobility.
E. VXLAN requires specialized hardware and cannot be implemented in software.

Answer: D

Explanation:
VXLAN allows Layer 2 segments to be extended across Layer 3 infrastructure by encapsulating Ethernet frames within UDP packets. This enables virtual machine mobility across different subnets. VXLAN adds overhead due to encapsulation. While VXLAN can enhance security, encryption is not its primary function. It is highly scalable and can be implemented in both hardware and software.

NEW QUESTION # 115
You are configuring a server with multiple GPUs for CUDA-aware MPI. Which environment variable is critical for ensuring proper GPU affinity, so that each MPI process uses the correct GPU?

A. CUDA DEVICE ORDER
B. CUDA LAUNCH BLOCKING-I
C. MPI GPU SUPPORT
D. CUDA VISIBLE DEVICES
E. LD LIBRARY PATH

Answer: D

Explanation:
'CUDA VISIBLE DEVICES' is essential for GPU affinity. It allows you to specify which GPUs are visible to a particular process. Without it, all processes might try to use the same GPU, leading to performance bottlenecks. controls the order in which GPUs are enumerated. specifies the path to shared libraries. is hypothetical. forces synchronous CUDA calls.

NEW QUESTION # 116
You have a BlueField-2 DPU running Ubuntu. After upgrading the MLNX OFED drivers, the DPU fails to boot properly. You are presented with a GRUB prompt. Which sequence of commands is most likely to help you boot into a working kernel?

Answer: E

Explanation:
When a boot fails after a driver upgrade, it's often because the new kernel/initrd is faulty. The most likely solution is to boot into the previous , known-good kernel. Option C attempts this by specifying '-old' in the kernel and initrd filenames, attempting to load the older, hopefully functional, kernel. It assumes the root partition is /dev/sda2 but is booting an older kernel. Option A uses '$(uname -r)' which likely resolves to the problematic kernel that caused the failure. Option B lacks version information and may also load a broken kernel. Option D uses /dev/nvme0n1p2, which might be incorrect for the root partition on the BlueField. Option E will try to load grub normally, which might fail again.

NEW QUESTION # 117
A system administrator wants to check the overall health status for their DGX systems. What command should be used?

A. nvsm
B. lspci
C. nvidia-smi
D. ipmitool

Answer: A

Explanation:
nvsm is the NVIDIA System Management tool used on DGX systems to check overall platform health, including hardware, sensors, storage, power, and GPU-related system status.

NEW QUESTION # 118
When installing multiple NVIDIA GPUs, which of the following factors are MOST important to consider regarding PCIe slot configuration?
(Choose two)

A. Ensure the PCIe slots are directly connected to the CPU for optimal bandwidth.
B. Ensure all GPUs are installed in slots of the same color.
C. Ensure all GPUs have the same PCIe generation (e.g. Gen4).
D. Install the GPUs in the lowest numbered slots first.
E. Ensure each GPU is installed in a slot with sufficient PCIe lanes (e.g., x16).

Answer: A,E

Explanation:
The number of PCIe lanes directly impacts bandwidth. Direct CPU connection minimizes latency. Slot color and numbering are usually irrelevant. Same PCIe Gen isn't critical as long as minimum requirements are met.

NEW QUESTION # 119
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