GPU Fleet Reliability & Observability: the practice test
DCGM, the XID taxonomy, ECC and row remapping, NVLink faults, stragglers and hangs, thermal and power events, node health checks, SLOs for training and serving, incident response and postmortems at fleet scale. The on-call reality most prep sites skip. This test drills exactly that: 10 easy, 10 medium and 10 hard questions, every one explained, every explanation linking into the worked material.
Sample questions, answered
XID 79 means the host lost contact with the GPU over PCIe: nvidia-smi hangs or shows the device missing and every process using it is stuck. Nothing short of a reboot brings it back. The reflex is to drain the node, restart the job on a spare from its last checkpoint, then reboot and diagnose (power, thermal, board). A GPU that falls off the bus twice within a window goes to RMA rather than back into the pool; the recurrence rule is what keeps a bad board from stopping the next job.
The utilization field is time-with-any-kernel-active over the sample window. A decode loop at batch 1, a chain of small elementwise kernels, or a memory-bound attention kernel all report 100% while using a sliver of the chip. The fields that say what the GPU is doing are the DCGM profiling counters: SM active, SM occupancy, tensor pipe active (which tracks MFU) and DRAM active. A fleet alert on utilization dropping below 90% fires on every loader stall and misses every thermal throttle.
Go deeper than the quiz
A practice test measures recall. The material it draws from teaches the reasoning:
