Difficulty: Medium
Correct Answer: Perform an extraction check directly in the SAP ERP source system using the standard extraction test transaction.
Explanation:
Introduction / Context:
In SAP BW projects, a critical step is to validate that the extraction from the source system is working correctly before you start loading data into BW InfoProviders. If the extraction itself is incorrect, any subsequent data loads, transformations, and reports will also be unreliable. SAP provides specific tools in the source system to test DataSource extractions in a controlled way. Understanding which tool to use and why it is preferred is important for both implementation work and certification exams.
Given Data / Assumptions:
Concept / Approach:
The recommended approach is to use the extraction test transaction in the source system to simulate a call from BW to the DataSource. This allows you to specify selection criteria, inspect the records returned by the extractor, and confirm that the business content, filters, and enhancements behave as expected. By validating at the source level, you avoid confusion between extraction problems and issues that may come from data transfer or transformation in BW. Only after the extractor behaves correctly should you proceed to load data into staging objects and InfoProviders.
Step-by-Step Solution:
Step 1: Identify that the goal is to test the extraction logic itself, not yet the complete BW data flow.
Step 2: Recall that SAP provides a dedicated extraction test transaction in the source system, which simulates a call from BW to the DataSource.
Step 3: Recognise that using this transaction you can enter selections, run the extractor, and examine the returned records immediately.
Step 4: Compare the answer options and find the one that clearly describes performing an extraction check directly in the SAP ERP source system with the standard tool.
Step 5: Select option b as the correct answer, because it reflects the recommended, focused testing method.
Verification / Alternative check:
Consider a scenario where a DataSource is supposed to extract only open sales orders for a given sales organisation. By running the extractor test transaction in the source system, you can select that sales organisation and verify whether only open orders are returned and whether the fields appear as expected. If the extractor returns incorrect data, you can adjust the logic in the source system before involving BW. This type of direct test is faster and more precise than loading data into BW and then trying to diagnose the problem from there, confirming the advantage of using the source extraction check.
Why Other Options Are Wrong:
Option a is unreliable because a BW query involves multiple layers, including transformations and aggregations, so problems may be hidden or misinterpreted. Option c is inefficient and risky; performing a full data load without first testing extraction can waste time and system resources. Option d, manually exporting tables and comparing them offline, is labour intensive and does not reflect the actual behaviour of the extractor. Option e is wrong because relying on background jobs without an explicit test can lead to delayed discovery of extraction errors and complicate troubleshooting.
Common Pitfalls:
A common mistake is to skip the dedicated extraction test and jump directly into complex BW loads and queries, which makes it difficult to identify whether an issue lies in the extractor or later in the data flow. Another pitfall is to assume that if some data arrives in BW, the extraction must be correct, ignoring field mapping or filter problems. Best practice is to validate the extractor first in the source system, then test the data transfer and transformation, and only finally validate the reporting layer.
Final Answer:
The most appropriate way to test an extraction from an SAP ERP source system is to perform an extraction check directly in the source system using the standard extraction test transaction.
Discussion & Comments