Microsoft Azure Data Engineer Associate - DP-203
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In a stream processing solution, you need to process data from multiple sources with varying data quality. How would you approach this task to ensure efficient and accurate processing?
A
Ignore the data quality issues and process the data as is.
B
Process each data source independently using a specific processing approach for each data quality issue.
C
Use a distributed processing framework like Spark to process the data from multiple sources with varying data quality.
D
Use a distributed processing framework like Spark to process the data from multiple sources with varying data quality and implement data cleaning and preprocessing techniques.