Question 1 of 30
A company is utilizing Power Platform Dataflows to integrate data from multiple sources, including SQL Server, SharePoint, and an external API. They need to transform the data to ensure consistency and accuracy before loading it into a Common Data Service (CDS) environment. The dataflow must handle various data types, including integers, strings, and dates, and must also include a step to remove duplicates based on a unique identifier. Which of the following approaches would best ensure that the dataflow is efficient and maintains data integrity throughout the transformation process?
Utilize Power Query transformations to clean and shape the data, applying the "Remove Duplicates" feature on the unique identifier column before loading the data into CDS.
Load all data into CDS first and then apply transformations directly within the CDS environment to ensure data integrity.
Use a third-party ETL tool to perform the transformations outside of Power Platform before importing the data into CDS.
Create multiple dataflows for each data source and load them into separate entities in CDS, then merge the data within CDS.

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