A deceptively rich warm-up. The interesting calls are how you mint short, collision-free, unguessable keys at scale, and how a read-heavy 100:1 workload shapes storage and caching. Here is the clean design with capacity math.
Updated Sep 2026 · Grounded in real GenAI, LLM, and AI/ML engineering interview loops and written to a senior-engineer editorial bar.
A deceptively rich warm-up. The interesting calls are how you mint short, collision-free, unguessable keys at scale, and how a read-heavy 100:1 workload shapes storage and caching. Here is the clean design with capacity math.
Lead with where the obvious approach breaks, because that is the judgment they are screening for — most candidates jump straight to the happy path and lose the room.
Then walk the failure back through the pipeline in order, naming the one metric the customer's exec sponsor actually cares about before you propose the fix.
