Your question is Scaling ML With Data Growth. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
Describe a time you had to scale a machine learning system to handle a significant increase in data volume.
Explain the original bottleneck, how you quantified the growth, and the architectural changes you made. Cover data ingestion, storage, training, inference, validation, monitoring, and the tradeoffs of your approach.