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In a scenario where you need to integrate a Python notebook into a data pipeline for real-time data processing, how would you ensure that the notebook is capable of handling high volumes of data and maintaining performance?
A
Use batch processing techniques within the notebook and optimize data structures for performance.
B
Increase the hardware resources for the notebook execution environment.
C
Reduce the data volume by filtering out unnecessary data before processing.
D
Manually monitor the notebook performance and adjust settings as needed.
