Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer, you are tasked with designing a data pipeline that efficiently processes both batch and real-time data streams for a financial analytics application. The solution must ensure data consistency, minimize latency for real-time data, and be cost-effective. Considering these requirements, which of the following approaches is the BEST to implement a hybrid data pipeline? (Choose one option)
As a Microsoft Fabric Analytics Engineer, you are tasked with designing a data pipeline that efficiently processes both batch and real-time data streams for a financial analytics application. The solution must ensure data consistency, minimize latency for real-time data, and be cost-effective. Considering these requirements, which of the following approaches is the BEST to implement a hybrid data pipeline? (Choose one option)
Explanation:
Integrating batch and real-time processing activities within a single pipeline using Azure Data Factory is the best approach. Azure Data Factory provides built-in capabilities to handle both processing modes efficiently, ensuring data consistency and minimizing latency for real-time data. This approach also offers a cost-effective solution by leveraging existing Azure services without the need for custom development or additional third-party tools.