Microsoft Azure Data Engineer Associate - DP-203
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In a scenario where you are working with a large dataset in Azure Data Lake Storage Gen2, you need to implement a partition strategy for optimizing the performance of analytical queries. What partitioning approach would you recommend, and how can it improve the efficiency of your data processing tasks?
A
Implement a partition strategy based on the data's size, as this is the most critical factor for analytical query performance.
B
Create a partition strategy based on the data's natural partition key, such as customer region or product type, to improve query performance and reduce the amount of data scanned.
C
Use a hash-based 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 analytical query performance in Azure Data Lake Storage Gen2.