Google Professional Data Engineer
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You are tasked with designing a cost-efficient data pipeline on Google Cloud that ingests JSON messages from Cloud Pub/Sub, processes them, and subsequently loads the transformed data into BigQuery. The solution must accommodate fluctuating input data volumes with minimal manual intervention. Which approach should you take to achieve this?