Scale-dependent production failure
A feature works perfectly in testing but breaks in production, and the difference turns out to be scale — the data volume or traffic prod has that test never did. How do you handle it?
What a strong answer looks like
Stop the bleeding first (mitigate), then form hypotheses from real signals. Separate root cause from symptom, communicate status as you go, and close with what prevents a repeat.
0:00 of about 20 min
Which questions mattered is sealed until you submit. Telling you now would just be handing over the edge cases.
Run or narrate your approach, then ask the coach.