Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer, you are designing a data pipeline to process data from multiple sources, each with varying data frequencies (e.g., real-time, daily, weekly). The solution must be cost-effective, scalable, and comply with data governance policies. Which of the following strategies should you implement to ensure the pipeline processes data efficiently under these constraints? (Choose one correct option)
A
Design a single, monolithic data pipeline that attempts to process all data frequencies uniformly, disregarding the specific requirements of each data source.
B
Develop a modular data pipeline with distinct processing modules, each optimized for a specific data frequency, allowing for flexible scaling and cost management.
C
Preprocess all incoming data to a uniform frequency using dataflows before pipeline processing, potentially increasing latency and processing costs.
D
Create separate data pipelines for each data frequency and manually merge the results, leading to increased complexity and maintenance overhead.