Microsoft Azure Data Engineer Associate - DP-203
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In a scenario where you need to implement a data pipeline that processes large volumes of data in Azure Data Factory, which of the following strategies would you use to optimize performance and minimize costs?
A
Increase the number of parallel activities to maximize resource utilization.
B
Use Azure Data Factory's autoscaling feature to dynamically allocate resources based on workload.
C
Manually adjust the degree of parallelism for each activity based on the size of the input data.
D
Disable all monitoring and logging to reduce overhead.