DP-203 Certification Practice Question #37

Question

You have data stored in thousands of CSV files in Azure Data Lake Storage Gen2. Each file has a header row followed by a properly formatted carriage return (/ r) and line feed (/n).
You are implementing a pattern that batch loads the files daily into a dedicated SQL pool in Azure Synapse Analytics by using PolyBase.
You need to skip the header row when you import the files into the data warehouse. Before building the loading pattern, you need to prepare the required database objects in Azure Synapse Analytics.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: Each correct selection is worth one point
Select and Place:

Accepted Answer

Microsoft Learn explicitly documents that serverless SQL pool reads JSON documents through `OPENROWSET` by using `FORMAT='csv'` with `0x0b` delimiters so that each JSON document is returned as a single row. That matches the requirement that each rowset contain one JSON record. The community consensus is overwhelming and the suggested answer agrees. The `JSON` choice sounds intuitive, but it is not the correct OPENROWSET format for this pattern.

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