Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer Associate, you are designing a data pipeline that processes customer transaction data for a retail company. The pipeline must run every 6 hours to ensure near real-time analytics for inventory management. The solution must be cost-effective, scalable, and minimize manual intervention. Which of the following steps should you take to optimally schedule the data pipeline? (Choose one correct option)
A
Configure the data pipeline to trigger manually every 6 hours, ensuring control over execution times but requiring constant monitoring.
B
Implement a dataflow within the pipeline that checks for new data every 6 hours, leveraging built-in scheduling capabilities without additional costs.
C
Add a trigger to the data pipeline specifying a 6-hour interval, enabling automatic execution without manual oversight.
D
Integrate a third-party scheduling tool with the data pipeline for enhanced scheduling features, at the cost of additional licensing and complexity.