Microsoft Azure Data Engineer Associate - DP-203
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You are tasked with optimizing the performance of a data warehouse using Azure Synapse Analytics. One of the requirements is to implement a partition strategy for handling large volumes of data. What factors should you consider when designing the partitioning scheme, and how can partitioning improve the performance of your data warehouse?
A
Focus on partitioning based on the data's size, as this is the most critical factor for data warehouse performance.
B
Implement a partition strategy based on the data's natural partition key, such as customer ID or product category, to improve query performance and reduce the amount of data scanned.
C
Use a round-robin partitioning method to distribute the data evenly across multiple partitions, regardless of the data's characteristics.
D
Do not implement any partition strategy, as it is not necessary for data warehouse performance in Azure Synapse Analytics.