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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with optimizing a data pipeline that processes large volumes of data for a financial services company. The pipeline must comply with strict regulatory requirements, minimize costs, and ensure scalability to handle peak loads during end-of-month processing. Which of the following strategies would BEST optimize the pipeline's performance while meeting all the given constraints? (Choose one option.)
A
Implement parallel processing only, as it significantly improves processing speed without additional costs.
B
Increase the resources allocated to the data pipeline during peak times only, to balance cost and performance.
C
Remove all non-essential activities from the pipeline to reduce processing time, regardless of their impact on data completeness.
D
Use a combination of parallel processing, dynamic resource allocation based on workload, and careful activity optimization to ensure compliance, cost-effectiveness, and scalability.