QuestionQ33

VerifiedIngest and transform data

You plan to process the following three datasets by using Fabric:

Dataset1: This dataset will be added to Fabric and will have a unique primary key between the source and the destination. The unique primary key will be an integer and will start at 1 with an increment of 1.

Dataset2: This dataset contains semi-structured data that uses bulk data transfer. It must be handled in one process between the source and the destination. Its transformation process will include custom visuals to understand and work with the dataset in development mode.

Dataset3: This dataset is in a lakehouse and will be bulk loaded. Its transformation process will include row-based windowing functions during the loading process.

You need to identify the type of item to use for the datasets. The solution must minimize development effort and use built-in functionality when possible.

What should you identify for each dataset?

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