The Certified Application Associate - SAP Analytics Cloud (C_SAC_2215) certification exam is designed for individuals who possess a fundamental understanding of SAP Analytics Cloud and its features. C-SAC-2215 exam is intended to validate the knowledge and skills required to work with SAP Analytics Cloud solutions in a professional setting. The C_SAC_2215 certification exam covers a range of topics related to SAP Analytics Cloud, including data modeling, data integration, and data analysis.
SAP C-SAC-2215 (Certified Application Associate - SAP Analytics Cloud) Certification Exam is a globally recognized certification that tests the knowledge and skills of individuals who are working with SAP Analytics Cloud. C-SAC-2215 exam is designed to test a candidate's understanding of essential concepts related to SAP Analytics Cloud, including data modeling, creating and configuring analytics, and designing and visualizing data.
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SAP Analytics Cloud is a cloud-based analytics solution that provides real-time analytics, data modeling, and data visualization. The platform is designed to help businesses make informed decisions by providing them with real-time insights into their data. The SAP C-SAC-2215 exam covers all the key areas of this platform, including data modeling, report creation, and dashboard creation. C-SAC-2215 exam is a comprehensive test of the candidate's knowledge and skills in using SAP Analytics Cloud.
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SAP C-SAC-2215 exam consists of multiple-choice questions covering different aspects of SAP Analytics Cloud. C-SAC-2215 exam is designed to assess the candidate's knowledge of various concepts, including data modeling, dashboard creation, data insights, data visualization, and data management. The test is based on the latest version of SAP Analytics Cloud, ensuring that the certification accurately reflects the current state of the platform.
SAP C-SAC-2215 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analytics Designer and Microsoft Office Integration | 10%–14% | - SAP Analysis for Microsoft Office integration - Building analytic applications |
| Topic 2: Data Preparation and Modeling | 16%–20% | - Dimension and model creation - Data wrangling, transformation, and cleansing - Calculations, hierarchies, and data security |
| Topic 3: Overview and Core Functionality | 8%–12% | - Navigation, user interface, and key features - SAP Analytics Cloud architecture and positioning |
| Topic 4: Business Intelligence and Story Design | 20%–24% | - Charts, tables, filters, and visualizations - Digital Boardroom and mobile analytics - Designing and building stories and dashboards |
| Topic 5: Planning and Predictive Functionality | 12%–16% | - Basic planning concepts and models - Smart Predict, Smart Discovery, and forecasting |
| Topic 6: Data Connections and Integration | 12%–16% | - Integration with SAP BW, SAP S/4HANA, and non-SAP sources - Import and live data connections |
| Topic 7: Administration, Security, and Collaboration | 8%–12% | - Content sharing, folders, and collaboration - User and role management |
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