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As a Microsoft Fabric Analytics Engineer Associate, you are designing a data pipeline for a retail company that expects a significant increase in data volume during holiday seasons. The pipeline must be cost-effective, comply with data governance policies, and automatically scale to handle the fluctuating data volumes without manual intervention. Which of the following approaches BEST meets these requirements? (Choose one option)
A
Design a data pipeline with a fixed capacity and manually request additional resources from the IT department during peak seasons, ensuring compliance with data governance policies.
B
Implement a data pipeline that leverages auto-scaling capabilities within Microsoft Fabric, automatically adjusting resources based on data volume, while adhering to cost constraints and compliance requirements.
C
Use a third-party monitoring tool to manually adjust the resources of the data pipeline based on anticipated data volume increases, ensuring cost-effectiveness and compliance.
D
Deploy a data pipeline with unlimited resources to handle any data volume increase, ignoring cost constraints but ensuring compliance and scalability.