What are the reasons for implementing Composite Providers? Note: There are 2 correct answers to this question.
Correct Answer: A,D
Question 2
Which source systems are supported in SAP BW bridge? Note: There are 3 correct answers to this question.
Correct Answer: B,D,E
* SAP ECC (Answer B): * SAP ECC is supported as a legacy source system through the BW bridge, allowing seamless integration. * SAP S/4HANA (On-premise and Cloud) (Answers D, E): * Both on-premise and cloud versions of SAP S/4HANA are supported for modern business integration scenarios. * SAP Ariba (Option A):Not directly supported in BW bridge. * SAP SuccessFactors (Option C):Requires a separate integration mechanism outside BW bridge. Incorrect Options:References: * SAP BW Bridge Source System Compatibility Documentation
Question 3
InfoObject CITY is defined as a display attribute for InfoObject CUSTOMER, and InfoObject COUNTRY is defined as a display attribute for InfoObject CITY. In a master data report you want to display the COUNTRY of a CUSTOMER. Which options do you have to realize the scenario? Note: There are 3 correct answer to this question."
Correct Answer: A,D,E
Question 4
You want to combine an existing SAP BW/4HANA Data Model with virtual data from a new non-SAP source system for test purposes. Which approach should you consider for rapid prototyping?
Correct Answer: C
Question 5
Which feature of a DataStore object (advanced) should be made available to improve the performance for data analysis?
Correct Answer: B
* DataStore Object (Advanced): In SAP BW/4HANA, a DataStore Object (advanced) is a flexible data storage object that supports both staging and reporting. It allows for detailed data storage and provides advanced features like partitioning, compression, and snapshot support. * Partitioning: Partitioning divides large datasets into smaller, manageable chunks based on specific criteria (e.g., time-based or value-based). This improves query performance by reducing the amount of data scanned during analysis. * Snapshot Support: This feature allows periodic snapshots of data to be stored in the DataStore Object (advanced). While useful for historical analysis, it does not directly improve query performance. * Inventory Management: This is unrelated to performance optimization in the context of data analysis. * ChangeLog: The ChangeLog stores delta records for incremental updates. While important for data loading, it does not directly enhance query performance. Key Concepts:Why Partitioning Improves Performance:Partitioning is a well-known technique in database management systems to optimize query performance. By dividing the data into partitions, queries can focus on specific subsets of data rather than scanning the entire dataset. For example: * Time-based partitioning (e.g., by year or month) allows queries to target only relevant time periods. * Value-based partitioning (e.g., by region or category) enables faster filtering of data. In SAP BW/4HANA, enabling partitioning for a DataStore Object (advanced) significantly enhances the performance of data analysis by reducing I/O operations and improving parallel processing capabilities. * A. Snapshot Support: While useful for historical reporting, it does not directly improve query performance. * C. Inventory Management: This is unrelated to query performance and pertains to managing materialized data. * D. ChangeLog: This is used for delta handling and does not impact query performance. * SAP BW/4HANA Documentation: The official documentation highlights partitioning as a key feature for optimizing query performance in DataStore Objects (advanced). * SAP Best Practices for Performance Optimization: Partitioning is recommended for large datasets to improve query execution times. * SAP Note on DataStore Object (Advanced): Notes such as 2708497 discuss the benefits of partitioning for performance. Why Other Options Are Incorrect:References:By enabling partitioning, you can significantly improve the performance of data analysis in a DataStore Object (advanced).
