Online Access Free NCP-AII Exam Questions

An Ai infrastructure relies on a liquid cooling system to dissipate heat from multiple NVIDIA GPUs. After a recent software update, users report intermittent performance degradation and system crashes. You suspect a cooling issue. Which TWO of the following checks are the MOST critical in diagnosing the root cause?

• A.Verify the pump speed and coolant flow rate within the liquid cooling system.
• B.Check the CPU temperature using 'sensors' command.
• C.Examine the ambient temperature in the data center.
• D.Analyze the system logs for GPU-related errors, specifically those indicating thermal throttling or power capping.
• E.Run a memory test on the host system.

You are tasked with deploying a cluster of NVIDIAAIOO GPUs in a high-density server environment. The server chassis has a limited power budget and cooling capacity. Which of the following strategies is MOST effective in validating that the power and cooling infrastructure can adequately support the GPU workload during peak performance, minimizing the risk of thermal throttling and system instability?

• A.Employ a power monitoring tool (e.g., IPMI, Redfish) to measure the actual power consumption of the server during a stress test that mimics the intended Ai workload. Cross-reference this with the power supply unit's (PSU) rating and the cooling system's capacity.
• B.Monitor GPU temperature using 'nvidia-smi' during a sustained compute-intensive workload and compare it to the GPU's thermal threshold. If the temperature remains below the threshold, the cooling is adequate.
• C.Rely solely on the GPU manufacturer's stated Thermal Design Power (TDP) specifications and allocate power based on these values.
• D.Observe the GPU clock speeds during a workload. If the clock speeds are at the maximum rated speed, the power and cooling are sufficient.
• E.Simulate the Ai workload with a synthetic benchmark (e.g., Linpack) and extrapolate power consumption based on the benchmark's performance metrics.

A large A1 model is training using a dataset stored on a network-attached storage (NAS) device. The data transfer speeds are significantly lower than expected. After initial troubleshooting, you discover that the MTU (Maximum Transmission Unit) size on the network interfaces of the training server and the NAS device are mismatched. The server is configured with an MTIJ of 1500, while the NAS device is configured with an MTU of 9000 (Jumbo Frames). What is the MOST likely consequence of this MTU mismatch, and what action should you take?

• A.The connection between the server and the NAS device will be unreliable, resulting in data corruption. Increase the MTU size on both devices to the maximum supported value.
• B.Data packets will be retransmitted, increasing the latency but still getting the full throughput. Configure the server to use Path MTU Discovery (PMTUD).
• C.The server will be unable to communicate with the NAS device. Reduce the MTU size on the server to match the MTU size of the NAS device.
• D.The data transfer will be limited to the lowest common MTU size, but there will be no significant performance impact. No action is required.
• E.Data packets will be fragmented, leading to increased overhead and reduced performance. Configure both the server and the NAS device to use the same MTU size (either 1500 or 9000).

You are designing an AI infrastructure cluster for training large language models (LLMs). The dataset consists of 10TB of image data and 5TB of text dat a. You estimate that intermediate training data (checkpoints, temporary files) will require an additional 20TB of storage. You want to use a parallel file system for optimal performance. Considering a replication factor of 2 for data redundancy and a 20% overhead for file system metadata, what is the minimum raw storage capacity you should provision?

• A.84 TB
• B.70 TB
• C.100.8 TB
• D.92.4 TB
• E.42 TB

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.Connect the GPUs using the motherboard's internal SATA power connectors.
• B.Install only three GPUs and leave the fourth unpowered.
• C.Underclock the GPUs significantly to reduce their power consumption below the available PSU capacity.
• D.Use a PCIe power splitter cable on one of the 8-pin connectors to power two GPUs.
• E.Replace the existing PSU with a higher wattage PSU that has at least four 8-pin PCIe power connectors.