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NVIDIA AI Infrastructure Sample Questions:

1. An AI server equipped with multiple NVIDIA GPUs experiences frequent reboots during peak workload periods. The system event logs indicate 'Uncorrectable Machine Check Exception' errors. You suspect a power delivery issue. Besides checking the PSUs, what other hardware component(s) should be thoroughly inspected to identify potential causes?

A) The motherboard VRMs (Voltage Regulator Modules) responsible for supplying power to the GPUs.
B) The CPU and system memory.
C) The storage drives (SSDs/HDDs).
D) The network interface cards (NICs).
E) The server's CMOS battery.

2. You're working with a large dataset of microscopy images stored as individual TIFF files. The images are accessed randomly during a training job. The current storage solution is a single HDD. You're tasked with improving data loading performance. Which of the following storage optimizations would provide the GREATEST performance improvement in this specific scenario?

A) Replacing the HDD with a RAID 5 array of HDDs.
B) Implementing data deduplication on the storage volume.
C) Compressing the TIFF files using a lossless compression algorithm.
D) Migrating the data to a large, sequential HDD.
E) Replacing the HDD with a single NVMe SS

3. After deploying BlueField OS, you notice that the network interfaces are not automatically configured with IP addresses. Which of the following actions would be the MOST appropriate first step to troubleshoot this issue?

A) Reinstall the Mellanox OFED drivers. A corrupted driver installation could cause network configuration issues.
B) Check the DHCP client configuration to ensure it is enabled and properly configured to request IP addresses. Examine the logs for any errors.
C) Manually assign static IP addresses to the interfaces using the 'ifconfig' command.
D) Re-flash the Bluefield OS image
E) Restart the networking service using 'systemctl restart networking'.

4. You're optimizing a deep learning model for deployment on NVIDIA Tensor Cores. The model uses a mix of FP32 and FP16 precision. During profiling with NVIDIA Nsight Systems, you observe that the Tensor Cores are underutilized. Which of the following strategies would MOST effectively improve Tensor Core utilization?

A) Decrease the learning rate to improve training stability and reduce the need for gradient clipping.
B) Enable CUDA graph capture to reduce kernel launch overhead.
C) Ensure that all matrix multiplications are performed using FP16 precision.
D) Increase the batch size to fully utilize the available GPU memory.
E) Pad the input tensors to dimensions that are multiples of 8 for optimal Tensor Core alignment.

5. You are configuring a BlueField-3 DPLJ for a cloud-native application using Kubernetes. You want to offload container networking using OVS (Open vSwitch). Which of the following configuration steps are NECESSARY to integrate the BlueField-3 DPIJ with the Kubernetes cluster for network offload? (Select TWO)

A) Configure the BlueField DPIJ to act as a DHCP server for the Kubernetes pods.
B) Deploy the NVIDIA BlueField Kubernetes Operator to manage the DPIJ lifecycle and networking configurations.
C) Install the Mellanox OFED drivers on all Kubernetes worker nodes.
D) Manually create OVS bridges and vPorts on the BlueField DPU using 'ovs-vsctr.
E) Configure the Kubernetes CNI (Container Network Interface) to use the OVS bridge managed by the BlueField DPIJ.

Solutions: