Microsoft Azure Data Engineer Associate - DP-203
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You are tasked with designing a data exploration layer for a large-scale data analytics project. The project requires the use of SQL Serverless and Spark clusters for query execution. How would you approach this task?
A
Create a single SQL Serverless instance and use it for all query executions.
B
Distribute the workload across multiple SQL Serverless instances and Spark clusters based on the query complexity and data volume.
C
Use only Spark clusters for all query executions, as they are more powerful than SQL Serverless.
D
Create a hybrid solution that combines SQL Serverless and Spark clusters, with a load balancer to distribute the workload.