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The analytics team at AsterData Inc. relies on BigQuery for both ad-hoc data exploration and scheduled SQL pipelines. The team operates under a flat-rate slot reservation of 2000 slots within their Google Cloud project. Recently, they added hundreds of new non time-critical SQL pipelines, and since then, they’ve started encountering frequent concurrent job quota errors. Log analysis shows around 1500 queries executing simultaneously during peak periods. You need to resolve these concurrency issues efficiently. What should you do?