Download Exam C-DS-43 Practice Test Questions with 100% Verified Answers [Q41-Q55]

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Download Exam C-DS-43 Practice Test Questions with 100% Verified Answers

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SAP C-DS-43 Exam Syllabus Topics:

Topic	Details
Topic 1	Change Data Capture: This section introduces delta load methods. Additionally, it discusses implementing both source-based and target-based Change Data Capture.
Topic 2	Recovery and Troubleshooting: It explores error handling, recovery methods, and interactive debugging. The sub-topics also deal with applying error handling.
Topic 3	Basic Data Transformation: This section covers core data transformation capabilities in SAP Data Services including functions, transforms, batch jobs, object hierarchy, and operation codes.
Topic 4	Data Integration Concepts and Components: It introduces guidelines, basic architecture, and key components for data integration with SAP Data Services.
Topic 5	Advanced Data Transformation: It dives deeper into applying data integrator transforms to ETL scenarios. Moreover, this section focuses on audit data flows, parameters, and use scripts.

Q41. An SAP Data Services dataflow has validation error.
What is the cause?

The dataflow has a syntax error that has to be correct before executing it.

The source data does NOT comply with the rules entered in the Validation transform

The source data is incorrect and the dataflow therefore requires a validation transform.

A conversion is missing

Q42. A target column named ZIP4 requires the input of the source columns: POSTCODE and EXTENSION. For example:
POSTECODE:99999
EXTENSION: 9999
Desired result is ZIP4:99999-9999

POSTCODE AND ‘-‘ AND EXTENSION

rpad_ext(POSTCPDE,EXTENSION)

POSTCODE +’-*+ EXTENSION

POSTCODE ||’-‘|| EXTENSION

Q43. 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

Enable the Delete data before load target table loader option

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

Set the autocorrect load option in the target table loader option

Use the table comparison transform before the table loader

Q44. What errors can you handle in SAP Services when you use a file format target?

Semantic error

Data type conversion error

Row- format error

File type error

Q45. What application do you use to display the graphical representations of all Sap Data Services objects including their relationships and properties?

Operational Dashborad

Autodocumentation

Impact and lineage Analysis

Data quality reports

Q46. 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

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

The merge transform combines the dataset into 5000 output rows

The merge transform joins the datasets using a full outer join

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

Q47. An SAP data services job was executed in the past.
Where can you see the order that the dataflows were executed in?
There are 2 correct answers to this question.

In the operational dashboard

In the impact and Lineage Analysis report

In the job trace log.

In the job server log

Q48. A new developer joined the project team. You already created a new SAP Data Services repository for this member.
Where do you manage the security setting for this new repository?

Data Services Designer

Central Management console

Repository manager

Repository database

Q49. A Map operation transform in SAP Data Services was used to modify the operation code of data is being processed. Why do you perform this action?

To ensure compatibility with subsequent transforms

To push the data down for better performance

To increase the speed that the database loads

To control how the data is loaded.

Q50. A SAP Data Services job contain logic to execute different dataflows depending on whether the job was successful or failed. Therefore the $NEEDS_RECOVERY variable should be set to either ‘Yes’ or ‘No’. How do you assign the value to the $NEEDS_RECOVERY variable?

Use a script with an SQL function to read from status table

Use a catch block and set the variable to ‘yes1

Use a dataflow to set the value via a template table

Use a global variable to persist the value across job executions

Q51. 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?

Create an auditing rule that raises an exception

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

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

Use the raise_exception function in the validation transform.

Q52. You want to load data from an input table to an output table using the SAP Data Services Query transform. How do you define the mapping of the columns within a Query transform?

Drag one column from the input schema to the output schema

Select an output column and enter the mapping manually.

Drag one column from the output schema to the input schema

Select one input column and enter the mapping manually

Q53. which transform are typically used to implement a slowly changing dimension of type 2 in SAP Data services?
3 correct answers

Data_Transfer

History_Preserving

Map_CDC_Operation

Key_Generation

Table_comparison

Q54. The value of the DEPT ID is null

What is the output of this SAP Data Services function?