Microsoft Azure Data Engineer Associate - DP-203
Get started today
Ultimate access to all questions.
Comments
Loading comments...
Ultimate access to all questions.
In a stream processing solution, you need to process data across multiple partitions. How would you approach this task to ensure efficient and accurate processing?
A
Use a single partition to process all the data and ignore the partitioning.
B
Distribute the data across multiple partitions and process each partition independently.
C
Use a distributed processing framework like Spark to process the data across multiple partitions.
D
Use a distributed processing framework like Spark to process the data across multiple partitions and handle schema drift.