C_DS_43 무료 덤프문제 온라인 액세스

In SAP Data Services which basic operations can you perform with a Query transform?

• A.Flag rows for update
• B."Join data from several sources"
• C.Set a global variable to a value
• D."Apply functions to columns"
• E.Map Columns from an input schema to an output schema"

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?
There are 2 correct answer

• A.Run the nightly job with the enable recovery flag turned on.
• B.add a try block before each dataflow and a Catch block after each dataflow
• C.Design the dataflow to ensure a second run does not result in duplicate
• D.Merge the dataflows from the job and rerun it.

Why would you use a memory datastore in your SAP Data Services dataflow design?

• A.To define a connection to SAP HANA
• B.To enhance processing performance of datadlows used in real time jobs.
• C.To reduce the memory consumption in the source database.
• D.To reduce the memory consumption in the target database.

What transform can you use to change the operation code from UPDATE to INSERT in SAP Data Services? Note: There are 2 correct answers to this question

• A.query
• B.Key generation
• C.History Preserving
• D.Map operation

An SAP Data Services dataflow has validation error.
What is the cause?

• A.The source data does NOT comply with the rules entered in the Validation transform
• B.The dataflow has a syntax error that has to be correct before executing it.
• C.The source data is incorrect and the dataflow therefore requires a validation transform.
• D.A conversion is missing