Microsoft Azure Data Engineer Associate - DP-203
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You are tasked with creating and executing queries using a compute solution that leverages SQL Serverless and Spark clusters in Azure Synapse Analytics. What are some of the key differences between SQL Serverless and Spark clusters that you should consider when choosing the appropriate compute solution for a specific query?
A
SQL Serverless is more suitable for lightweight queries, while Spark clusters are better for complex data processing tasks.
B
SQL Serverless is more cost-effective for small-scale projects, while Spark clusters are more expensive.
C
Spark clusters provide better support for machine learning and AI workloads compared to SQL Serverless.
D
All of the above.