NVIDIA NCP-AII Dumps Questions Answers

The correct command sequence is sudo apt-get purge nvidia-* & & sudo apt-get autoremove. Purging removes NVIDIA driver packages and their configuration files, while autoremove removes dependency packages that were installed automatically and are no longer required. NVIDIA’s current data center driver removal guidance for Ubuntu 22.04 and 24.04 uses apt remove --autoremove --purge with NVIDIA-related package patterns, including driver, Fabric Manager, firmware, headless, DKMS, compute, decode, encode, and related libraries. A simple apt-get remove nvidia-driver-550 removes only one package and may leave DKMS modules, libraries, configuration files, Fabric Manager packages, or version-specific dependencies behind. Manually deleting /usr/lib/nvidia is unsafe because it bypasses package management and can leave the system in an inconsistent state. ubuntu-drivers uninstall is not the most complete answer for fully purging all NVIDIA driver components during conflict troubleshooting. After removal, administrators should verify loaded modules, package state, and reboot before installing the intended validated driver stack. Clean removal is important in AI infrastructure because driver conflicts can break CUDA, NCCL, DCGM, Fabric Manager, and container runtime behavior.

The correct answer is that the firmware is waiting on reboot to become active. For NVIDIA networking devices and DPUs, a firmware upgrade generally writes the new firmware image to the device flash, but the currently running firmware may remain active until the device is reset, rebooted, or power-cycled. NVIDIA MFT documentation notes that loading new firmware may require mlxfwreset, reboot, or power cycle, depending on the device and situation. This distinction is important during server bring-up because administrators must verify both the flashed firmware version and the running firmware version before declaring the update complete. Assuming the firmware is immediately active can lead to version drift across nodes, inconsistent behavior, or failed validation. The firmware is not deleted, and saying it is merely copied but not installed is incomplete because the update process has written it to the device. The operational issue is activation. In production clusters, firmware upgrades should be followed by the required reset procedure and post-update validation using appropriate NVIDIA tools before returning the node to service.

The correct action is to query the DPU BMC using the Task ID created by the Redfish firmware update process. BlueField BMC firmware updates performed through Redfish are tracked as BMC-side tasks. NVIDIA BlueField BMC firmware documentation describes Redfish-based firmware upgrade operations and indicates that the secure update starts tracking progress. The Redfish task object exposes fields such as TaskState, TaskStatus, messages, and progress indicators, which are the correct source of truth for update completion or failure. Checking /var/log/messages inside the DPU operating system may not show BMC firmware update progress because the operation is managed by the BMC. Power cycling immediately is unsafe because interrupting firmware update or activation can cause recovery problems. bfrec --status is not the standard command for tracking Redfish BMC firmware update task progress. In NVIDIA AI infrastructure bring-up and maintenance, firmware operations should be monitored through the management controller workflow that initiated them, preserving the Task ID and polling the BMC task endpoint until completion, failure, or a documented timeout condition is reached.