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Answer: Use a combination of parallel processing, dynamic resource allocation based on workload, and careful activity optimization to ensure compliance, cost-effectiveness, and scalability.
The best strategy combines parallel processing for speed, dynamic resource allocation to manage costs and performance during peak loads, and activity optimization to ensure the pipeline remains compliant and efficient. This approach addresses all the given constraints: regulatory compliance, cost minimization, and scalability.
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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.