Your question is Store High-Dimensional Model Outputs. 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).
You're designing a pipeline that captures and serves model outputs such as embeddings, token-level scores, and structured inference metadata. Before choosing storage, you want to compare the database patterns that fit different access needs.
Explain the trade-offs between different database architectures for storing high-dimensional model output data.