A data team is working with Databricks clusters and needs to enhance the efficiency of their operations. They want to minimize the latency involved in starting up clusters from a stopped state (cold start) and manage the scalability of these clusters more effectively. In this context, identify the scenario where utilizing cluster pools would be advantageous for the data team to achieve these objectives?