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As a Microsoft Azure Data Engineer Associate, you are responsible for designing a data processing pipeline in Azure Synapse Analytics. What are some of the best practices to consider when optimizing the performance of the data processing pipeline?
A
Use columnstore indexes to improve query performance for analytical workloads.
B
Partition the data to improve query performance and simplify data management.
C
Implement data caching and result set caching to reduce query execution times and improve responsiveness.
D
All of the above.
