An SAP Data Services job contains a lot of dataflows and runs for several hours every night. If a job execution fails, you want to skip all successful dataflows and start with the failed dataflow. How do you accomplish this?
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An SAP Data Services dataflow contains multiple transform objects. The target table contains some unexpected results for one column.
How can you review a sample of the data as it passes through each transform?

Once you have confirmed that the structure appears correct, you execute another debug session with all records, breaking after every row. Execute the Alpha_NACustomer_Job again in debug mode using a breakpoint to stop the debug process after a number of rows.

In which of the following objects can you use built-in- functions in SAP Data services? Note: There are 3 correct answers to this question

which transform are typically used to implement a slowly changing dimension of type 2 in SAP Data services?
3 correct answers