Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer Associate, you are designing a data pipeline to ingest data from multiple sources into a lakehouse. The data includes structured data from a SQL database, semi-structured data from a NoSQL database, and unstructured data from a file system. Considering the need for cost efficiency, compliance with data governance policies, and scalability for future data growth, which approach would you recommend? (Choose one option.)
A
Develop a unified pipeline that processes all data types together and stores them in a single table within the lakehouse, applying a generic schema to accommodate all data formats.
B
Implement separate pipelines for each data type, storing them in a single table in the lakehouse but using a different schema for each data type to maintain data integrity.
C
Design a single pipeline that handles all data types, storing them in separate tables within the lakehouse with a unified schema to simplify data access.
D
Construct separate pipelines for each data type, storing them in separate tables within the lakehouse and applying distinct schemas tailored to each data type's structure and requirements.