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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security and Best Practices | 10-15% | - Security fundamentals - Compliance considerations - Operational best practices |
| Topic 2: NVIDIA AI Infrastructure Components | 25-30% | - NVIDIA networking solutions (Mellanox) - Storage solutions for AI workloads - NVIDIA DGX systems - NVIDIA AI Enterprise software |
| Topic 3: Deployment and Configuration | 25-30% | - Software deployment - Cluster configuration - System installation and setup - Network configuration |
| Topic 4: AI Infrastructure Fundamentals | 15-20% | - Data center infrastructure requirements - AI and Deep Learning concepts - NVIDIA software stack overview - GPU architecture basics |
| Topic 5: Monitoring and Management | 15-20% | - Troubleshooting basics - NVIDIA management tools - Performance monitoring - Resource utilization |
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NEW QUESTION # 183
A server with 8 NVIDIAAIOO GPUs is experiencing an unexpected shutdown under heavy load. The IPMI logs show a 'Power Supply Deasserted' event immediately preceding the shutdown. After replacing the PSU, the issue persists. What is the MOST likely cause of the continued shutdowns?
Answer: E
Explanation:
The 'Power Supply Deasserted' event, even after replacing the PSIJ, strongly suggests that overcurrent protection (OCP) is being triggered. OCP is a safety mechanism that shuts down the PSU if it detects excessive current draw. This is particularly likely with multiple high- power GPUs, as the inrush current during startup can momentarily exceed the PSU's capacity. A driver issue or insufficient memory is less likely to cause this specific event.
NEW QUESTION # 184
While trying to bring-up the fabric, the administrator identifies one nonoperational InfiniBand server:
What is the cause based on the output?
Answer: D
Explanation:
The port is physically up and active, but the link layer is shown as Ethernet rather than InfiniBand.
This means the adapter port is operating in Ethernet mode, so it is not participating in the InfiniBand fabric.
NEW QUESTION # 185
You are tasked with troubleshooting a performance bottleneck in a multi-node, multi-GPU deep learning training job utilizing Horovod.
The training loss is decreasing, but the overall training time is significantly longer than expected. Which of the following monitoring approaches would provide the most insight into the cause of the bottleneck?
Answer: D
Explanation:
Horovod's timeline and profiling tools are specifically designed to visualize communication patterns and identify bottlenecks in distributed training jobs. While 'nvidia-smr and network monitoring can provide useful information, they don't give the holistic view of communication overhead that Horovod's tools provide. Loss curve analysis helps with model-related issues, not distributed training bottlenecks. 'htop' isn't related to network or GPU specific issues in distributed processing.
NEW QUESTION # 186
A system administrator has upgraded the firmware of the DPU. What will be the state of the firmware after the upgrade?
Answer: A
Explanation:
After a DPU firmware upgrade, the new firmware is staged but does not become active until the DPU is rebooted or reset as required. The reboot activates the newly installed firmware image.
NEW QUESTION # 187
A system administrator needs to change the RAID level of DGX station and use the script included in the DGX software with no data on the array. What are the options the administrator can choose?
Answer: C
Explanation:
The DGX Station RAID configuration script supports configuring the data array as RAID 0 or RAID 5. RAID 0 provides maximum performance and capacity, while RAID 5 provides fault tolerance with usable capacity tradeoff.
NEW QUESTION # 188
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