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A data scientist has developed a BigQuery ML model and needs your help to set up an ML pipeline for serving predictions. Your REST API application must provide predictions for a single user ID with a latency of less than 100 milliseconds, using the query: SELECT predicted_label, user_id FROM ML.PREDICT (MODEL ‘dataset.model‘, table user_features). How can you establish the ML pipeline to meet these requirements?
A data scientist has developed a BigQuery ML model and needs your help to set up an ML pipeline for serving predictions. Your REST API application must provide predictions for a single user ID with a latency of less than 100 milliseconds, using the query: SELECT predicted_label, user_id FROM ML.PREDICT (MODEL ‘dataset.model‘, table user_features). How can you establish the ML pipeline to meet these requirements?
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