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A data scientist has developed a BigQuery ML model and has requested your assistance in establishing a machine learning (ML) pipeline to facilitate predictions. Currently, you operate a REST API application that comes with a specific requirement to serve predictions for individual user IDs with a latency of less than 100 milliseconds. To achieve predictions, you utilize the following BigQuery ML query:
SELECT predicted_label, user_id FROM ML.PREDICT (MODEL 'dataset.model', table user_features).
What steps should you take to effectively create the ML pipeline to meet these requirements?