SAP C_DS_43 SAP Certified Application Associate Certifications SAP Data Integration with SAP Data Services Certifications Online Training
SAP C_DS_43 Online Training
The questions for C_DS_43 were last updated at Nov 22,2024.
- Exam Code: C_DS_43
- Exam Name: SAP Certified Application Associate Certifications SAP Data Integration with SAP Data Services Certifications
- Certification Provider: SAP
- Latest update: Nov 22,2024
What transform can you use to change the operation code from UPDATE to INSERT in SAP Data
S ervices? Note: There are 2 correct answers to this question
- A . query
- B . Key generation
- C . Map operation
- D . History Preserving
A dataflow contain a pivot transform followed by a query transform that performs an aggregation. The Aggregation query should by pushed down to the database in SAP Data services.
Where would you place the Data_Transfer transform to do this?
- A . Before the pivot transform
- B . Between the pivot transform and the query transform
- C . After the query transform
- D . Before the pivot transform and after the query transform.
How do you desing a data load that has good performance and deals with interrupted loads in SAP Data services?
- A . by setting the target table loader with Bulk Load and Auto Correct Load enabled.
- B . by setting the target table loader with bulk load enabled
- C . By using the table comparison transform
- D . By creating two dataflows and executing the Auto Correct Load version when reired
You create a file format in SAP Data Services What properties can you set for a column?
Note: There are 3 correct answers to this question.
- A . default value
- B . Format information
- C . field size
- D . data type
- E . comment
How do you allow a new team member to view the SAP Data Services repository in read only mode?
- A . Use the central repository in the Desinger
- B . Export the repository’s metadata to an XML file and open it in a browser.
- C . Copy the repository and view the copy in the repository manager.
- D . Use the Auto Documentation feature in the Management Console
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.
- A . In the operational dashboard
- B . In the impact and Lineage Analysis report
- C . In the job trace log.
- D . In the job server log
You SAP Data Services job design includes an initialization script that truncates rows in the target prior to loading, the job uses automatic recovery
How would you expect the system to behave when you run the job in recovery mode? Note: There are 2 correct answers to this question
- A . The job executes the scripts if it is part of a workflow marked as a recovery unit, but only if an error was raised
- B . The job executes the scripts if it is part of a workflow marked as a recovery unit irrespective of where the error ocurred in the job flow.
- C . the job starts with the flow that caused the error. If this flow is after the initialization script the initialization script is skipped.
- D . The job reruns all workflows and scripts. When using automatic recovery, only dataflows that ran successfully in the previous execution ^ are skipped.
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?
- A . Map_Operation transform
- B . Validation transform
- C . Case transform
- D . Country ID transform
What operations can be pushed down in SAP Data Services?
- A . Aggregation operations used with a group by statement
- B . join operations between a file and a database table
- C . Load operations that contain trigger
- D . Join operations between sources that are on the same database servers
The performance of a dataflow is slow in SAP Data Services.
How can you see which part of the operations is pushed down to the source database? Note: the are 2 correct answers to this question.
- A . by opening the auto documentation page in the Data Services Management Console
- B . By enabling corresponding trace options in the job execution dialog.
- C . By opening the dataflow and using the view optimized SQL feature.
- D . By starting the job in debubg mode.