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A person certified as SAP Certified Application Associate - SAP Analytics Cloud: Planning can also demonstrate their knowledge and skills in conducting predictive analysis, leveraging business content, and integrating SAP Analytics Cloud with SAP S/4HANA, SAP BW, and SAP BusinessObjects BI platforms.
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SAP C-SACP-2107 certification exam covers a wide range of topics related to SAP Analytics Cloud planning, including planning models, data sources, data entry, calculations, allocations, and currency conversion. Candidates who pass this certification exam demonstrate their ability to design, build, and maintain planning models using SAP Analytics Cloud.
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SAP C_SACP_2107 exam consists of 80 multiple-choice questions that must be completed within 180 minutes. C_SACP_2107 exam is available in different languages, including English, German, Japanese, and Spanish. To pass the exam, candidates must achieve a minimum score of 63%.
| Section | Weight | Objectives |
|---|---|---|
| Integrated Planning Overview & SAP BW Integration | 12% | - Data flow and content exchange - Connectivity to SAP BW - Integrated planning architecture |
| SAP BPC Integration, Analytic Applications, and Microsoft Excel Integration | 12% | - Hybrid planning with SAP BPC - Microsoft Excel integration - Design and build analytic applications |
| SAP S/4HANA Integration | 12% | - Group reporting integration - Import/export with IBP - Integration with S/4HANA Finance |
| Introduction, Dimensions, and Planning Models | 12% | - Planning overview and concepts - Planning model creation and configuration - Dimension design and maintenance |
| Data Actions and Allocation Processes | 12% | - Scheduling and automation - Define and run allocation processes - Configure and execute data actions |
| Core Planning Functionality | 12% | - Data entry and version management - Data distribution and simulation - Currency conversion and calculations |
| Forecasting, Collaboration, and Process Control | 12% | - Work status, locking, and collaboration - Rolling forecasts and value driver trees - Predictive forecasting and Smart Predict |
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