Your Microsoft Azure environment contains an elastic pool that has 2,000 eDTUs. The current available storage for the pool is 500 GB. At 10:00 each morning, the databases in the pool are slow to…

The problem states that databases in the pool are slow to respond to queries, indicating a performance bottleneck. eDTUs represent the combined measure of CPU, memory, and read/write throughput for an Azure SQL elastic pool. Increasing the eDTUs for the pool directly increases the available resources to all databases within it, alleviating the performance bottleneck and improving query response times.

Increasing the maximum eDTUs for individual databases within the pool only raises their potential share of the existing pool eDTUs, but does not increase the total eDTU capacity of the pool itself, which is the overall bottleneck.

Increasing the storage size of the pool only affects the amount of data that can be stored, not the compute resources (eDTUs) available for query processing, which are causing the slow response times.

Increasing the minimum eDTUs for individual databases ensures they always receive a baseline level of resources, but if the overall pool is bottlenecked, this might only redistribute the limited resources, not increase the total capacity to handle peak loads.