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SAP Certified Application Associate - Data Integration with SAP Data Services 4.2 (C_DS_42) - SAP Actual Exam Questions

Last updated on May 01, 2026

97% Exam Compliance
80 Total Questions
1
Question

You are asked to perform either the initial load or delta load based on the value of a variable that is set at job execution How do you design this requirement in SAP Data services.

Options
A

Set the job to call the initial and delta dataflow in parallel. Each dataflow should have a filter testing for the variable value.

B

Use a job containing a script with the if then else () function to test the variable value. Connect this script to the initial and delta u dataflow.

C

Use a job containing a Case transform testing for the two possible conditions. Connect one case output to the initial dataflow and the other to the delta dataflow Use a job container the delta dataflow

D

Use a job containing a Conditional objet that test the value of the variable. In the IF part, call the initial dataflow in the ELSE part call

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2
Question

Which feature in the SAP Data Services Management Console allows you to see the trend of the execution time for any given job?

Options
A

data quality reports

B

monitor log

C

Operational dashboard

D

trace log

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3
Question

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

Select 2
Options
A

query

B

Key generation

C

Map operation

D

History Preserving

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4
Question

You are joining tables using the query transform of SAP Data Services.

Options
A

Maximum of two tables

B

Left outer joins and inner joins

C

Only equal conditions

D

Only inner joins

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5
Question

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

Select 2
Options
A

Run the nightly job with the enable recovery flag turned on.

B

Design the dataflow to ensure a second run does not result in duplicate

C

add a try block before each dataflow and a Catch block after each dataflow

D

Merge the dataflows from the job and rerun it.

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