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SAP C-SAC-2107 Certification Exam is designed for individuals who aim to validate their skills and knowledge in SAP Analytics Cloud. C-SAC-2107 exam tests candidates on their abilities to perform essential tasks such as modeling, data acquisition, analytics, and collaboration. SAP Certified Application Associate - SAP Analytics Cloud certification exam is a reliable measure of an individual's proficiency in SAP Analytics Cloud, and it serves as a benchmark for organizations to evaluate the expertise of their employees. C-SAC-2107 exam is conducted by SAP and is one of the most sought-after certifications in the analytics industry.
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SAP C-SAC-2107 exam is designed to test the knowledge and skills of professionals who work with SAP Analytics Cloud. SAP Analytics Cloud is a popular cloud-based analytics tool that is used by businesses to analyze data and make informed decisions. C-SAC-2107 exam is targeted towards professionals who want to become certified SAP Analytics Cloud Application Associates.
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SAP C-SAC-2107 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Business Intelligence | 12% | - Design and create stories - Analytical applications and Analytics Designer - SAP Analysis for Microsoft Office integration |
| Content Presentation, Sharing and Collaboration | 8% - 12% | - Sharing and collaboration features - Mobile access and SAP Analytics Hub - Digital Boardroom |
| Administration, Connections and Integration | 12% | - Connecting and integrating external systems - Folder and content administration - User and role security management |
| SAP Analytics Cloud Architecture | 8% - 12% | - Solution landscape and deployment options - System configuration and setup |
| Data Preparation and Data Models | 12% | - Design and create data models - Data preparation and transformation |
| Overview and Core Functionality | 8% - 12% | - Core functionalities: Business Intelligence, Planning, Predictive - SAP Analytics Cloud architecture and positioning |
| Augmented Analytics | 8% - 12% | - Smart Predict and forecasting - Machine learning and automated insights |
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