SAP Certified Application Associate - Data Integration with SAP Data Services actual test pdf, C_DS_43 actual test latest version

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SAP C_DS_43 Exam Syllabus Topics:

TopicDetails
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
  • Complex Design Methodology: This section covers interdependancies within a workflow, using workflows to control the execution of the job, and implementing Datastore configurations and System Configurations.
Topic 3
  • Data Integration Concepts and Components: It introduces guidelines, basic architecture, and key components for data integration with SAP Data Services.
Topic 4
  • Basic Data Transformation: This section covers core data transformation capabilities in SAP Data Services including functions, transforms, batch jobs, object hierarchy, and operation codes.

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SAP Certified Application Associate - Data Integration with SAP Data Services Sample Questions (Q31-Q36):

NEW QUESTION # 31
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. Merge the dataflows from the job and rerun it.
  • 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. Run the nightly job with the enable recovery flag turned on.

Answer: B,C


NEW QUESTION # 32
You decide to distribute the execution of a job across multiple job servers within a server group. What distribution levels are available? 3 answers correct

  • A. Embedded dataflow
  • B. subdataflow
  • C. Dataflow
  • D. JOB
  • E. workflow

Answer: B,C,D

Explanation:
Select the level within a job that you want to distribute to multiple Job Servers for processing:
Job: The whole job will execute on an available Job Server.
Data flow: Each data flow within the job can execute on an available Job Server.
Sub data flow: Each sub data flow (can be a separate transform or function) within a data flow can execute on an available Job Server.
For more information, see "Using grid computing to distribute data flows execution" in the Performance Optimization Guide.


NEW QUESTION # 33
In which of the following objects can you use built-in- functions in SAP Data services? Note: There are 3 correct answers to this question

  • A. Merge transform
  • B. Conditionals
  • C. Query transform
  • D. Scripts
  • E. Map CDC transform

Answer: A,C,D


NEW QUESTION # 34
What is the SAP Data services Dataflow auditing feature used for? Note: There are 2 correct answers to this question.

  • A. To view the data as it is processed by the dataflow in order to ensure its correctness
  • B. To count the number of rows processed at user defined points to collect runtime statistics
  • C. To define rules based on the number of records processed overall once the dataflow is finished
  • D. to define rules that each record processed by the dataflow has to comply with

Answer: B,D


NEW QUESTION # 35
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. Between the pivot transform and the query transform
  • B. After the query transform
  • C. Before the pivot transform
  • D. Before the pivot transform and after the query transform.

Answer: A


NEW QUESTION # 36
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