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SAP C_DS_42 Exam Overview:
| Certification Vendor: | SAP |
|---|---|
| Exam Name: | Data Integration with SAP Data Services 4.2 |
| Exam Number: | C_DS_42 |
| Exam Format: | Multiple Choice, Multiple Response |
| Exam Price: | USD 560 - 568 |
| Available Languages: | English |
| Passing Score: | 68% |
| Exam Duration: | 180 minutes |
| Real Exam Qty: | 80 |
| Certificate Validity Period: | Lifelong (subject to SAP policy updates) |
| Recommended Training: | DS100: Data Services Advanced DS10: Data Services 4.2 |
| Exam Registration: | SAP Training & Certification Shop |
| Sample Questions: |  |
| Exam Way: | Online proctored or at authorized SAP testing centers |
| Pre Condition: | No mandatory prerequisites; recommended basic knowledge of SQL and ETL concepts |
| Official Syllabus URL: | https://training.sap.com/certification/c_ds_42-sap-certified-application-associate-data-integration-with-sap-data-services-4-2 |
SAP C_DS_42 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Integration Concepts | <8% | - ETL/ELT principles - Data integration architectures - SAP Data Services overview |
| Data Management | >12% | - Datastore configuration and metadata import - Repository types and management - Management Console administration |
| Basic Data Transformation | >12% | - Query transform usage - Simple data mapping and filtering - Built-in functions and expressions |
| Recovery and Troubleshooting | >12% | - Job recovery and restart - Error handling mechanisms - Log analysis and debugging |
| Complex Design Methodology | 8% - 12% | - Reusable objects and workflows - Project structure and version control - Conditional logic and variables |
| Advanced Data Transformation | 8% - 12% | - Nested data processing - Data quality and cleansing - Advanced transforms |
| Performance Optimized Design | >12% | - Sizing and execution tuning - Push-down operations - Dataflow optimization |
| Change Data Capture | <8% | - CDC methods and configuration - Delta load implementation - Source vs target-based CDC |
C_DS_42 Exam Details and Your Advantages
SAP recommends the following official training options:
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Select a test center or online appointment, and book early enough to leave room for score-tracked practice.
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According to the latest exam information, the C_DS_42 exam contains 80 questions within 180 minutes minutes. The testing engine reproduces that scope and calculates your final practice score — a useful reference for judging real-exam readiness.
At present, the C_DS_42 exam requires a passing score of 68%, with a registration fee of USD 560 - 568. SAP sets both figures and may revise them, so confirm on the official site before you schedule.
The SAP Certified Application Associate - Data Integration with SAP Data Services 4.2 blueprint covers these core domains:
- Basic Data Transformation (>12%)
- Complex Design Methodology (8% - 12%)
- Data Management (>12%)
Further domains complete the official outline; the question bank addresses all of them.
With data, not guesswork. The C_DS_42 testing engine is user-friendly and easy to install; upon completion of each practice test, it calculates your final score, giving you a concrete reference for the real exam. Behind the tools, professionals and IT specialists compose the materials, and every answer is expert-verified — aligned with the real exam's format across the SAP Certified Application Associate - Data Integration with SAP Data Services 4.2 objectives. Before buying, try the free demo questions to test your knowledge; after buying, 24/7 Customer Service and Live Support assist with any problem, and you can ask the team for a discount code. That is the remarkable experience we work to provide.
SAP states the following prerequisites for the SAP Certified Application Associate - Data Integration with SAP Data Services 4.2: No mandatory prerequisites; recommended basic knowledge of SQL and ETL concepts.
Check the authoritative wording on the official certification page before booking.
SAP Certified Application Associate - Data Integration with SAP Data Services 4.2 Sample Questions:
You are asked to perform either the initial load or delta load based on the value of a variable that is set at job execution How do you design this requirement in SAP Data services.
- A. Set the job to call the initial and delta dataflow in parallel. Each dataflow should have a filter testing for the variable value.
- B. Use a job containing a Case transform testing for the two possible conditions. Connect one case output to the initial dataflow and the other to the delta dataflow Use a job container the delta dataflow
- C. Use a job containing a script with the if then else () function to test the variable value. Connect this script to the initial and delta u dataflow.
- D. Use a job containing a Conditional objet that test the value of the variable. In the IF part, call the initial dataflow in the ELSE part call
Correct Answer: D 🗳️
You want to back up an SAP Data Services repository. How does the system store repositories?
- A. As tables in a relational database management system
- B. As an XML file on the Data services Access Server
- C. As an XML file on the data services job server
- D. As an binary file on the Data servives job server
Correct Answer: A 🗳️
You source table has a revenue column and a quantity column for each month. You want to transform this data to get a table containing twelve rows whit two columns.
What is the best way to achieve this in SAP Data services?
- A. Use the merge transform that is connected to the source
- B. Use the query transform with multiple IFTHENELSE() functions.
- C. Use the pivot transform with two pivot sets.
- D. Use twelve query transform to create the desired output. Then combine these transforms.
Correct Answer: C 🗳️
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? There are 2 correct answers
- A. Drag one column from the input schema to the output schema
- B. Select an output column and enter the mapping manually.
- C. Drag one column from the output schema to the input schema
- D. Select one input column and enter the mapping manually
Correct Answer: A,B 🗳️
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. After the query transform
- B. Between the pivot transform and the query transform
- C. Before the pivot transform
- D. Before the pivot transform and after the query transform.
Correct Answer: B 🗳️
