Description

  • The “SAP Certified Application Associate – Data Integration with SAP Data Services 4.2” certification exam verifies that the candidate possesses proven skills and fundamental knowledge in implementing ETL projects, administering and managing projects using SAP Data Services. This exam will measure the candidate’s knowledge of SAP DataServices starting with understanding Data Integration concepts, and will test required skills in applying performance tuning and sizing methods, implementing complex design methodology, performing Data Transformation and troubleshooting and recovery.

Topic Areas

Please see below the list of topics that may be covered within this certification and the courses that cover them. Its accuracy does not constitute a legitimate claim; SAP reserves the right to update the exam content (topics, items, weighting) at any time.

Data Management> 12%

 

Manage repositories, setup Data Stores and use the data services managment console, install and configure data services, set up file formats, schedule jobs, manage Security in Data Services, and use Data Services Workbench.

 

Performance Optimized Design> 12%

 

Optimize data flow for performance and measure performance, use parallel processing, push down operations, and distribute Data Flow execution across Job Servers; configure Bulk Loaders.

 

Basic Data Transformation> 12%

 

Use Target table options, built-in functions, the platform, validation and Query transforms, create batch jobs, describe data services object hierarchy/relationsihp and operation codes.

 

Recovery and Troubleshooting> 12%

 

Design recovery, troubleshoot/test jobs, apply error handling, explain Trace logs, and use the interactive debugger.

 

Complex Design Methodology8% – 12%

 

Design the interdependancies within a workflow, use workflows to control the execution of the job, and implement Datastore configurations and System Configurations.

 

Advanced Data Transformation8% – 12%

 

Apply data integrator transforms, audit data flows, and use scripting and embedded Data Flows.

 

Data Integration Concepts< 8%

 

Descibe ETL Project Guidelines, Real-Time processing, and profile data in Data Services.

 

  • Additional Information

Change Data Capture< 8%

 

Compare Delta Load Methods, and implement source based Change Data Capture and target based Change Data Capture.