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| Section | Weight | Objectives |
|---|---|---|
| Validation, Troubleshooting and Optimization | 20% | - Cluster validation and benchmarking
|
| Networking and Storage Configuration | 20% | - NVIDIA networking solutions
|
| Software Stack Deployment | 25% | - NVIDIA software components
|
| System and Server Bring-up | 20% | - Firmware and system configuration
|
| GPU Resource Management | 15% | - GPU scheduling and optimization
|
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NEW QUESTION # 20
You are managing a server farm of GPU servers used for A1 model training. You observe frequent GPU failures across different servers.
Analysis reveals that the failures often occur during periods of peak ambient temperature in the data center. You can't immediately improve the data center cooling. What are TWO proactive measures you can implement to mitigate these failures without significantly impacting training performance?
Answer: A,C
Explanation:
Reducing the GPIJ power limit (A) will directly reduce heat generation, which is the primary driver of failures in this scenario. While it will slightly reduce performance, the impact is less than aggressive throttling. Scheduling training jobs for off-peak hours (D) completely avoids the issue of high ambient temperatures. Increasing fan speeds (B) can help, but it may not be sufficient and can increase noise. Frequency scaling (C) is a more aggressive approach that can significantly impact performance. Replacing all GPUs with water-cooled models (E) is a more expensive and complex solution that may not be immediately feasible.
NEW QUESTION # 21
An NVIDIA-based AI server is experiencing intermittent network connectivity issues. You suspect a problem with the SFP28 transceiver connecting the server to the network. You want to use command-line tools to retrieve the DOM (Digital Optical Monitoring) information from the transceiver to diagnose the problem. Assuming you have appropriate network administration privileges, which command sequence is the MOST likely to provide the necessary DOM data (assuming 'eth0' is the interface)?
Answer: D
Explanation:
The 'ethtool -m ethos command (with appropriate sudo privileges) is specifically designed to retrieve module EEPROM information, including DOM data, from a network interface. The other commands are not designed for this purpose. 'ethtool eth01 grep transceiver' may provide some basic transceiver information but won't provide details like temperature or power levels. link show' focuses on link state, not module details. 'ifconfig' is deprecated and doesn't show detailed transceiver information. 'Ishw- provides hardware inventory but not real-time DOM.
NEW QUESTION # 22
After ClusterKit reports "GPU-Host latency exceeds threshold," which NVIDIA diagnostic tool should be used to isolate hardware faults?
Answer: A
Explanation:
"GPU-Host latency" issues in NVIDIA DGX or HGX systems are frequently caused by incorrect PCIe affinity or sub-optimal NUMA (Non-Uniform Memory Access) mapping. If a GPU is forced to communicate with a CPU core or an HCA that is not on its local PCIe switch/root complex, latency increases significantly as data must cross the QPI/UPI inter-processor links. The command nvidia-smi topo -m provides a detailed matrix of the system's internal topology, showing how GPUs, CPUs, and NICs are connected. It identifies whether the connection is via a single PCIe switch (PIX), multiple switches (PXB), or across the CPU (SYS).
By inspecting this map, an administrator can identify if a software process is pinned to the wrong NUMA node or if a hardware path is unexpectedly degraded. While DCGM (Option C) is good for checking component health, it doesn't map the logical-to-physical affinity paths that cause specific latency "threshold" warnings.
NEW QUESTION # 23
One of the nodes in a cluster is not running as fast as the others and the system administrator needs to check the status of the GPUs on that system. What command should be used?
Answer: D
Explanation:
nvidia-smi is the standard NVIDIA command-line utility for checking GPU status, including utilization, temperature, power draw, memory usage, driver state, and running processes. It is the appropriate first command to investigate why a GPU node is performing slower than others.
NEW QUESTION # 24
You are configuring an InfiniBand subnet with multiple switches. You need to ensure that traffic between two specific nodes always takes the shortest path, bypassing a potentially congested link. Which of the following approaches is MOST effective for achieving this using InfiniBand's routing capabilities?
Answer: A
Explanation:
Static routing with 'ibroute' (or similar) provides the most direct and reliable way to ensure traffic follows a specific path. The SM's default algorithm might not always choose the optimal path, and QOS only prioritizes traffic, not forces a specific route. Configuring forwarding tables manually on each switch is error-prone and difficult to manage at scale.
NEW QUESTION # 25
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