SAP C-SAC-2120 Exam covers a range of topics related to SAP Analytics Cloud, including data modeling and data acquisition, creating visualizations and stories, and administering and securing SAP Analytics Cloud. C-SAC-2120 exam consists of 80 multiple-choice questions and has a time limit of 180 minutes. To pass the exam, candidates must achieve a minimum score of 65%.
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SAP C_SAC_2120 exam covers a wide range of topics related to SAP Analytics Cloud, including its architecture, data modeling, and reporting capabilities. Candidates will be tested on their ability to configure and use various analytical tools, as well as their knowledge of data integration and security measures. C-SAC-2120 exam also covers the basics of SAP Analytics Cloud administration, including user management and system configuration.
SAP C-SAC-2120 certification is a valuable credential that can help professionals to advance their careers and increase their earning potential. Certified Application Associate - SAP Analytics Cloud certification demonstrates that a candidate has the knowledge and skills required to work with SAP Analytics Cloud and can help them to stand out in a competitive job market.
SAP C-SAC-2120 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Administration, Connections and Integration | 18% | - Data connections and live connectivity - User management and security - Integration with SAP and non-SAP systems |
| Analytics Designer and Microsoft Office Integration | 16% | - Scripting and customization - Designing analytic applications - Analysis for Microsoft Office |
| Data Preparation and Data Modeling | 12% | - Model types and management - Dimension and measure creation - Data acquisition and preparation |
| Planning Fundamentals | 18% | - Data actions and allocations - Versions and categories - Planning models and dimensions |
| Overview and Core Functionality | 12% | - Architecture and components - Navigation and core features - Positioning in SAP landscape |
| Business Intelligence | 12% | - Sharing and collaboration - Story design and visualization - Filtering and calculations |
| Predictive Analytics | 12% | - Predictive scenarios - Smart Predict and forecasting - Augmented analytics functions |
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