Weekend Special Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: bigdisc65

C_DS_42 Exam Dumps - SAP Certified Application Associate Questions and Answers

Question # 4

An SAP Data Services Validation transform outputs all invalid rows. If more than ten rows are invalid, the data is considered to be failed. How do you implement this?

Options:

A.

Create an auditing rule that raises an exception

B.

Raise an exception in a Conditional connected to the target table.

C.

Set a breakpoint on the line connected to the target table.

D.

Use the raise_exception function in the validation transform.

Buy Now
Question # 5

What are standard component of SAP Dataservices? There are 3 correct answers

Options:

A.

Job server

B.

Design studio

C.

Secure local repository

D.

Access server

E.

Real time services

Buy Now
Question # 6

In SAP Data services which function delivers the same results an nested 1FTHENELSE functions?

Options:

A.

Match_Pattern

B.

Decode

C.

Literal

D.

Match_regex

Buy Now
Question # 7

In SAP Data Services why would you select the produce default output checkbox in the Case transform?

Options:

A.

To output all rows that match the case statement

B.

to output all rows that do match exactly one case expression

C.

To output all rows to the default path regardless if the they match the case expressions.

D.

To output all rows that do not match any case expression to the default path

Buy Now
Question # 8

The SAP Data services merge transform is used to combine two datasets; the first has 3000 rows and the second has 2000 rows. What are characteristics of the Merge transform? Note: there are 2 correct answers to this question

Options:

A.

The merge transform combines the dataset into 5000 or less output rows.

B.

The merge transform combines the dataset into 5000 output rows

C.

The merge transform joins the datasets using a full outer join

D.

The merge transform require both dataset to have the same structure.

Buy Now
Question # 9

You want to use on SAP data services transform to split your source vendor data into three branches, based on the country code.

Which transform do you use?

Options:

A.

Map_Operation transform

B.

Validation transform

C.

Case transform

D.

Country ID transform

Buy Now
Question # 10

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

Buy Now
Question # 11

Which type of SAP Data Services object can a project, job, dataflow or workflow contain? 3 correct answers

Options:

A.

A Project can contain a job

B.

A job can contain a job

C.

A dataflow can contain a workflow

D.

A job can contain a workflow

E.

A workflow can contain a workflow

Buy Now
Question # 12

In SAP data services what does the date generation transform allow you to generate?

Options:

A.

The rows for a given date range

B.

The current date for a column to see when each row was loaded.

C.

the valid from date based on a dataset the contains valid to information only

D.

the valid to date based on a dataset the contains valid to information only

Buy Now
Question # 13

An SAP Data Services dataflow adds the changed data (insert and update) into a target table every day.

How do you design the dataflow to ensure that a partially executed dataflow recovers automatically the next time it is executed?

2 correct answers

Options:

A.

Enable the Delete data before load target table loader option

B.

Add lookup function in the where clause to filter out existing rows.

C.

Set the autocorrect load option in the target table loader option

D.

Use the table comparison transform before the table loader

Buy Now
Exam Code: C_DS_42
Exam Name: SAP Certified Application Associate - Data Integration with SAP Data Services 4.2
Last Update: May 10, 2025
Questions: 80
C_DS_42 pdf

C_DS_42 PDF

$29.75  $84.99
C_DS_42 Engine

C_DS_42 Testing Engine

$33.25  $94.99
C_DS_42 PDF + Engine

C_DS_42 PDF + Testing Engine

$47.25  $134.99