RELIABLE C_DS_43 EXAM BOOTCAMP, NEW C_DS_43 TEST FEE

Reliable C_DS_43 Exam Bootcamp, New C_DS_43 Test Fee

Reliable C_DS_43 Exam Bootcamp, New C_DS_43 Test Fee

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SAP C_DS_43 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • Data Integration Concepts and Components: It introduces guidelines, basic architecture, and key components for data integration with SAP Data Services.
Topic 3
  • Performance Optimized Design: This section examines performance optimization techniques like parallelism, push down operations, and bulk loading. The sub-topics also cover distributing Data Flow execution.
Topic 4
  • Recovery and Troubleshooting: It explores error handling, recovery methods, and interactive debugging. The sub-topics also deal with applying error handling.
Topic 5
  • 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 6
  • Data Quality Transforms: This section focuses on SAP Data Services data quality for cleansing and matching data. The sub-topics develop skills for improving data integrity.
Topic 7
  • Basic Data Transformation: This section covers core data transformation capabilities in SAP Data Services including functions, transforms, batch jobs, object hierarchy, and operation codes.

SAP Certified Application Associate - Data Integration with SAP Data Services Sample Questions (Q16-Q21):

NEW QUESTION # 16
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. Query transform
  • B. Conditionals
  • C. Map CDC transform
  • D. Merge transform
  • E. Scripts

Answer: A,D,E


NEW QUESTION # 17
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 irrespective of where the error ocurred in the job flow.
  • B. The job reruns all workflows and scripts. When using automatic recovery, only dataflows that ran successfully in the previous execution

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