Your team is deploying a real-time personalized ad-ranking model. The model requires low-latency access for hundreds of user-level features to be fetched at request time. These features are stored in BigQuery and updated frequently by a streaming Dataflow pipeline. As your user base continues to grow, you discover that fetching these features from BigQuery at request time is causing the total inference latency to exceed your 100 ms SLA. You need a feature serving layer that provides low-latency retrieval and scales automatically while minimizing operational overhead. What should you do?
Select one answer.
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