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What are valid options when using the Data Flow feature of SAP Datasphere? Note: There are 3 correct answers to this question.
Correct Answer: B,C,E
B. Python for complex transformation: * SAP Datasphere supports the use of Python for advanced and custom transformations during data processing. C. Data combination with Union/Join operators: * Data Flow allows combining multiple data sources through Union or Join operators for seamless integration. E. Target modes (Append/Truncate/Delete): * These target modes provide flexibility in managing data in the target table during the data flow execution. References:SAP Datasphere Data Flow documentation (SAP Help Portal)