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Answer: 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.
The BEST approach is to implement a data pipeline with auto-scaling capabilities within Microsoft Fabric. This solution automatically adjusts resources based on data volume, ensuring scalability during peak seasons without manual intervention. It also adheres to cost constraints and compliance requirements, making it the most efficient and effective option for the retail company's needs.
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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.
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