You are building a data flow in Azure Data Factory that upserts data into a table in an Azure Synapse Analytics dedicated SQL pool.
You need to add a transformation to the data flow. The transformation must specify logic indicating when a row from the input data must be upserted into the sink.
Which type of transformation should you add to the data flow?
You have a Microsoft Purview account. The Lineage view of a CSV file is shown in the following exhibit.
How is the data for the lineage populated?
You have an Azure SQL database named DB1 and an Azure Data Factory data pipeline named pipeline.
From Data Factory, you configure a linked service to DB1.
In DB1, you create a stored procedure named SP1. SP1 returns a single row of data that has four columns.
You need to add an activity to pipeline to execute SP1. The solution must ensure that the values in the columns are stored as pipeline variables.
Which two types of activities can you use to execute SP1? (Refer to Data Engineering on Microsoft Azure documents or guide for Answers/Explanation available at Microsoft.com)
the two types of activities that you can use to execute SP1 areStored ProcedureandLookup.
https://learn.microsoft.com/en-us/azure/data-factory/transform-data-using-stored-procedure
You have a Microsoft Purview account. The Lineage view of a CSV file is shown in the following exhibit.
How is the data for the lineage populated?
You have an Azure subscription that contains an Azure Synapse Analytics dedicated SQL pool named SQLPool1.
SQLPool1 is currently paused.
You need to restore the current state of SQLPool1 to a new SQL pool.
What should you do first?
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