NVIDIA NCP-AII Exam Questions : NVIDIA AI Infrastructure

During a multi-day NeMo burn-in, intermittent "GPU fell off bus" errors occur. Which diagnostic approach isolates hardware faults?

• A. Reduce blocksize to 500MB to lower memory pressure
• B. Enable HPL_USE_NVSHMEM for alternative memory sharing
• C. Run DCGM diagnostics alongside burn-in to monitor GPU health metrics
• D. Switch from BERT to GPT models for simpler computations

During a 72-hour HPL burn-in test on a DGX H100 cluster, one node shows a 15% performance drop after 48 hours. What are the two most likely causes and diagnostic steps? (Choose two.)

• A. MPI configuration error; rerun with --cpu-affinity adjustments.
• B. Memory corruption; reboot the node and reduce problem size (N)
• C. Network packet loss; analyze ibdiagnet reports
• D. Thermal throttling due to cooling issues; check nvidia-smi dmon

You are tasked with setting up High Availability (HA) for NVIDIA Base Command Manager (BCM) in a new GPU cluster. The cluster consists of a primary and secondary head node, as well as several compute nodes. The requirements are: automatic failover of BCM services, minimal disruption to workloads, and proper cluster health monitoring during and after installation. During your BCM HA installation and configuration process, which two of the following actions are mandatory for ensuring a robust and verified HA cluster configuration? (Choose two.)

• A. During configuration, explicitly synchronize both the configuration and state data directories from the primary to the secondary head node to ensure consistency.
• B. Assign a floating Virtual IP address that can automatically migrate between the primary and secondary head nodes during failover.
• C. Compute nodes must be powered on and performing work to initiate the synchronization of the head nodes.
• D. After configuration is complete, simulate a failover by stopping BCM services on the active head node to verify that all services are running on the secondary node with no interruption.
• E. Configure both head nodes to use independent static IP addresses for BCM services instead of relying on a shared virtual IP address.

An AI operations team enables Multi-Instance GPU (MIG) on several NVIDIA GPUs to improve resource utilization. Shortly afterward, one data science team reports that its distributed training job runs noticeably slower than before. The cluster administrator must determine the most likely reason for this behavior.

• A. MIG automatically enables NVLink aggregation across all GPU instances.
• B. MIG combines multiple physical GPUs into one logical accelerator.
• C. MIG increases GPU memory bandwidth for every workload.
• D. MIG divides one physical GPU into isolated compute instances with dedicated resources.

You are a network administrator responsible for configuring an East-West (E/W) Spectrum-X fabric using SuperNIC. The Bluefield 3 devices in your network should be a set to NIC mode with RoCE enabled to optimize data flow between servers. You have access to the Spectrum-X management tools and the necessary documentation. You need to use specific configuration commands to achieve this setup. Which of the following steps and commands are necessary to configure the Bluefield 3 devices in NIC mode for the E/W Spectrum-xX fabric using SuperNIC?
(Choose two.)

• A. Use the command sudo mixconfig -d /dev/mst/<device> set LINK_TYPE_P1=2 to enable Ethernet on the Bluefield 3 devices.
• B. Use the command sudo mixconfig -d /dev/mst/<device> set DISABLE_SPECTRUM_X=1 to reduce overhead.
• C. Use the command sudo mixconfig -d /dev/mst/<device> set DPU_MODE=1 to set up the Bluefield
  3 devices in DPU (Data Processing Unit) mode.
• D. Use the command sudo mixconfig -d /dev/mst/<device> set
  INTERNAL_CPU_OFFLOAD_ENGINE=1 to configure the SuperNIC to operate in NIC mode.