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To prepare for the SAP C_SAC_2120 exam, candidates can take advantage of various resources provided by SAP, such as e-learning courses, study guides, and practice exams. These resources provide a comprehensive understanding of the exam topics and help candidates to assess their readiness for the exam. Additionally, candidates can participate in SAP community forums and discussion groups to learn from other professionals and share their experiences.
To pass the SAP C-SAC-2120 Exam, candidates must demonstrate their proficiency in various areas of SAP Analytics Cloud. These areas include creating and managing data models, analyzing data using various tools and techniques, creating and managing visualizations, and sharing insights with others. C-SAC-2120 exam also covers topics such as cloud security, data integration, and system administration. Successful candidates will have a thorough understanding of SAP Analytics Cloud and be able to leverage its features to drive better business outcomes.
Reference: https://training.sap.com/certification/c_sac_2120-sap-certified-application-associate---sap-analytics-cloud-g/
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SAP Analytics Cloud is a cloud-based analytics solution developed by the German software giant SAP. It is a comprehensive analytics platform that allows businesses to connect, visualize, and share data in a single, unified environment. The platform provides advanced analytics capabilities, including predictive analytics, machine learning, and artificial intelligence, to help organizations gain insights into their data and make better-informed decisions.
SAP C-SAC-2120 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Administration, Connections and Integration | 18% | - User management and security
- Data connections and live connectivity
- Integration with SAP and non-SAP systems
|
| Topic 2: Overview and Core Functionality | 12% | - Architecture and components
- Positioning in SAP landscape
- Navigation and core features
|
| Topic 3: Data Preparation and Data Modeling | 12% | - Dimension and measure creation
- Data acquisition and preparation
- Model types and management
|
| Topic 4: Analytics Designer and Microsoft Office Integration | 16% | - Analysis for Microsoft Office
- Scripting and customization
- Designing analytic applications
|
| Topic 5: Planning Fundamentals | 18% | - Data actions and allocations
- Planning models and dimensions
- Versions and categories
|
| Topic 6: Business Intelligence | 12% | - Sharing and collaboration
- Story design and visualization
- Filtering and calculations
|
| Topic 7: Predictive Analytics | 12% | - Predictive scenarios
- Augmented analytics functions
- Smart Predict and forecasting
|