10What service level objectives would you promise researchers on a training platform, and how would you measure each?▼mediumNewGoogleMetaOpenAI4 repliesunlockedAvailability is the wrong promise for a platform whose jobs run for weeks. Four objectives that a researcher can actually plan against, how each is measured from data you already collect, the error budget that makes them enforceable, and the one number that should never be an objective.Open full answer →
11Define the service level objectives for an LLM serving fleet, and the alerting that tells you when one is about to be missed.▼mediumNewOpenAIAnthropicBaseten4 replies○ sign inFour objectives, each measured at a percentile because averages hide the experience you are promising. The error budget in minutes per month, the burn-rate arithmetic that catches a fast failure in an hour and a slow one in a day, and why two of the four need separate targets per traffic class.Open full answer →
19Design observability for an inference fleet: per-request spans, GPU metrics, and cost attribution per tenant.▼mediumNewBasetenOpenAI4 replies○ sign inGPU utilization at 100% tells you nothing, and a trace per token would cost more than the tokens. The span layout for one request, the GPU counters that read headroom, the cardinality budget that keeps the metrics store alive, and cost attribution that charges tenants for the batch share they used.Open full answer →
01Tell me about a time you pushed back on a launch because of a reliability concern.▼easy★ EssentialNewGoogleMetaOpenAI4 repliesunlockedThe interviewer is not checking whether you can say no. They are checking whether your no came with a number, an alternative and a date. The four-part shape that makes this story land, a worked example with the arithmetic a real one carries, and the version that fails.Open full answer →