You need to recommend a solution to resolve the query issue of the serverless SQL pool. The solution must minimize impact on the users. What should you do?

Serverless SQL pools in Azure Synapse Analytics do not support manual statistics updates; they rely on automatic query optimization.

An Apache Spark pool is primarily for big data processing and machine learning, not typically the go-to solution for resolving SQL query performance issues for end-users.

The sp_set_process_data_limit stored procedure is not applicable to Azure Synapse serverless SQL pools for resolving general query performance issues.

A dedicated SQL pool offers provisioned compute resources and optimized performance for complex queries and large datasets, making it suitable for resolving persistent query issues that a serverless SQL pool might struggle with due to its on-demand nature. Migrating to this more robust environment provides a stable and performant query experience for users, addressing the core problem.