Free PDF 2026 NVIDIA NCP-AII: NVIDIA AI Infrastructure–The Best Latest Exam Questions Vce

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| 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 | - 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.
|
| Topic 3 | - Physical Layer Management: Covers configuring BlueField network platform devices and setting up Multi-Instance GPU (MIG) partitioning for AI and HPC workloads.
|
| 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 | - 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.
|
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NVIDIA AI Infrastructure Sample Questions (Q150-Q155):
NEW QUESTION # 150
You are evaluating the integration of NVIDIA BlueField DPUs into your data center's storage architecture to optimize AI workloads. The storage solution chosen has incorporated BlueField DPUs to enhance performance and efficiency. Which of the following benefits directly results from this integration?
- A. Unlimited scalability by adding more DPUs without architectural changes.
- B. Reduced CPU load by offloading data processing tasks to DPUs.
- C. Enhanced I/O performance with NVMe storage access speeds.
- D. Elimination of latency issues in data processing tasks.
Answer: B
Explanation:
NVIDIA BlueField DPUs improve storage architecture efficiency by offloading infrastructure and data-processing tasks from the host CPU. This frees CPU resources for AI workloads while the DPU handles storage, networking, and security-related processing more efficiently.
NEW QUESTION # 151
Refer to the exhibit. Which type of NVIDIA LinkX cable has a teal color code?

- A. Optical cables with active circuitry (AOCs)
- B. Copper cables with direct attachment (DACs)
- C. Copper cables with active circuitry (ACCs)
- D. Optical cables with passive circuitry (POCs)
Answer: A
Explanation:
NVIDIA LinkX teal-colored cables indicate active optical cables. AOCs use optical fiber with active circuitry in the cable ends to support high-speed, longer-distance data center interconnects.
NEW QUESTION # 152
An HPC administrator observes that a distributed training workload generates heavy AllReduce traffic across hundreds of GPUs. Although each InfiniBand link is healthy, several links become heavily utilized while others remain nearly idle, limiting overall scalability. Which configuration change is most likely to improve communication efficiency?
- A. Enable multi-rail communication so traffic can utilize multiple network interfaces
- B. Replace NVSwitch with PCIe switches
- C. Disable RDMA to simplify packet routing
- D. Reduce GPU clock frequency to minimize communication demand
Answer: A
Explanation:
Multi-rail networking allows communication libraries such as NCCL to distribute traffic across multiple InfiniBand interfaces, improving bandwidth utilization and reducing congestion. Lowering GPU frequency reduces computational performance without solving the communication imbalance. RDMA should remain enabled for efficient transfers, and NVSwitch is unrelated to inter-server network traffic.
NEW QUESTION # 153
You are installing four NVIDIAAIOO GPUs into a server designed for AI training. The server motherboard has multiple PCIe Gen4 x16 slots. However, the server's power supply unit (PSU) only has three 8-pin PCIe power connectors available. What is the BEST course of action to ensure all GPUs receive adequate power?
- A. Underclock the GPUs significantly to reduce their power consumption below the available PSU capacity.
- B. Use a PCIe power splitter cable on one of the 8-pin connectors to power two GPUs.
- C. Connect the GPUs using the motherboard's internal SATA power connectors.
- D. Replace the existing PSU with a higher wattage PSU that has at least four 8-pin PCIe power connectors.
- E. Install only three GPUs and leave the fourth unpowered.
Answer: D
Explanation:
Using a splitter can overload the original connector and cause instability or damage. Leaving a GPU unpowered defeats the purpose. SATA connectors are not designed for the high power requirements of GPUs. Underclocking might work, but is not a reliable long-term solution. Replacing the PSU is the safest and most reliable solution.
NEW QUESTION # 154
A leaf switch shows " FW Version Mismatch " alerts for transceivers after cluster expansion. Which tool validates transceiver firmware against expected versions?
- A. ethtool
- B. flint
- C. mlxconfig
- D. iblinkinfo
Answer: B
Explanation:
Firmware consistency is a pillar of stable InfiniBand fabric performance. When a cluster is expanded, new transceivers or cables may arrive with newer or older firmware than the existing base, leading to " FW Version Mismatch " alerts in management consoles like UFM (Unified Fabric Manager). The flint tool (or mstflint) is the correct utility for querying the specific firmware levels embedded within the transceivers.
While iblinkinfo provides data on link speeds and port states, it does not provide the deep hardware-level firmware telemetry required for version validation. flint allows the administrator to query the device, compare the current burn version against the target image, and perform the necessary updates to bring the cluster into a uniform state. In NVIDIA AI infrastructure, maintaining uniform firmware across the fabric ensures that features like Adaptive Routing and Congestion Control operate predictably. Without version parity, inconsistent behavior in Forward Error Correction (FEC) or link-up negotiation can lead to intermittent performance drops that are difficult to diagnose at the application (NCCL) level.
NEW QUESTION # 155
......
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