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You're deploying BlueField OS to an Arm-based SmartNIC. After flashing the image, the system fails to boot and you observe a kernel panic related to device tree loading. Which of the following is the most likely cause?
A. Incorrect bootloader configuration (e.g., incorrect bootargs). The bootloader might not be pointing to the correct device tree blob (dtb) or root filesystem.
B. The BlueField OS image is corrupted. A fresh download and re-flash should resolve the problem.
C. The secure boot configuration is incorrectly set up. Disabling secure boot in the BIOS or bootloader might resolve the issue.
D. Insufficient memory allocated to the initrd image. This can lead to failures during initial system setup.
E. The flashed image is not intended for your specific BlueField card revision. Ensure that image corresponds to hardware version.
Answer: A
Explanation:
A device tree blob (DTB) describes the hardware to the kernel. If the bootloader doesn't point to the correct DTB or its boot arguments are incorrect, the kernel cannot properly initialize, leading to a panic. The other options could contribute to boot problems but a device tree problem commonly manifests as a kernel panic during initialization.
NEW QUESTION # 298
You're troubleshooting a DGX-I server exhibiting performance degradation during a large-scale distributed training job. 'nvidia-smu shows all GPUs are detected, but one GPU consistently reports significantly lower utilization than the others. Attempts to reschedule orkloads to that GPU frequently result in CUDA errors. Which of the following is the MOST likely cause and the BEST initial roubleshooting step?
A. Insufficient cooling in the server rack; verify adequate airflow and cooling capacity for the rack.
B. A driver issue affecting only one GPU; reinstall NVIDIA drivers completely.
C. A software bug in the training script utilizing that specific GPU's resources inefficiently; debug the training script.
D. A hardware fault with the GPU, potentially thermal throttling or memory issues; run 'nvidia-smi -i -q' to check temperatures, power limits, and error counts.
E. Power supply unit (PSU) overload, causing reduced power delivery to that GPU; monitor PSU load and check PSU specifications.
Answer: D
Explanation:
While all options are possibilities, the consistently lower utilization and CUDA errors point strongly to a hardware fault. Running nvidia-smi -i -q' provides detailed telemetry data, including temperature, power limits, and ECC error counts, which are crucial for diagnosing GPU hardware issues.
NEW QUESTION # 299
An AI server with 8 GPUs is experiencing random system crashes under heavy load. The system logs indicate potential memory errors, but standard memory tests (memtest86+) pass without any failures. The GPUs are passively cooled. What are the THREE most likely root causes of these crashes?
A. Incompatible NVIDIA driver version with the installed Linux kernel.
B. A faulty power supply unit (PSU) that is unable to provide stable power under peak load.
C. Network congestion causing intermittent data corruption during distributed training.
D. Insufficient airflow within the server, leading to overheating of the GPUs and VRMs.
E. GPIJ memory errors that are not detectable by standard CPU-based memory tests.
Answer: B,D,E
Explanation:
GPU memory errors (B) are a strong possibility, as CPU-based tests don't test GPU memory directly. Insufficient airflow (C) is likely due to the passive cooling, leading to thermal instability. A faulty PSU (D) can cause random crashes under load due to power fluctuations. Driver incompatibility (A) is less likely to cause random crashes after initial setup, and network congestion (E) usually results in training slowdowns rather than system crashes.
NEW QUESTION # 300
A security policy requires you to log all NGC CLI commands executed on a specific host. How can you achieve this without modifying the NGC CLI source code?
A. Use the 'history' command in Linux to view the command history for the user account used to execute the NGC CLI commands.
B. Implement system-level auditing using tools like 'auditd' (Linux) or Windows Event Logging to capture all executed commands, including NGC CLI commands.
C. NGC CLI automatically logs all commands to a file in the '/var/log/ngc' directory.
D. Configure the NGC CLI to send all commands to a remote syslog server.
E. Create a wrapper script around the 'ngc' command that logs the command and its arguments before executing the actual NGC CLI command.
Answer: B,E
Explanation:
System-level auditing (B) provides a comprehensive way to log all executed commands. Creating a wrapper script (C) allows you to log the command before it's executed. The 'history' command (A) only captures commands executed in the current shell session. Option D is incorrect as NGC CLI does not log automatically to this directory, and option E is not a supported feature.
NEW QUESTION # 301
You are implementing a security policy on a BlueField-2 DPU to filter traffic based on specific application signatures. Which technology, supported by BlueField, allows you to achieve deep packet inspection (DPI) and apply security rules based on the detected application?
A. OVS (Open vSwitch) with OpenFlow rules.
B. eBPF (extended Berkeley Packet Filter) with XDP (eXpress Data Path).
C. IPsec (Internet Protocol Security) tunnels.
D. Netfilter with connection tracking.
E. TC (Traffic Control) with 'iptables' rules.
Answer: B
Explanation:
eBPF with XDP is the most suitable technology for deep packet inspection (DPI) on BlueField. It allows you to run custom code at near-line speed to inspect packets and apply security rules based on application signatures. TC and Netfilter are less efficient for DPI, OVS/OpenFlow are more for switching policies, and IPsec focuses on encryption.
NEW QUESTION # 302
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