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Earning the SAP C-SAC-2202 certification demonstrates to employers and clients that a candidate has the knowledge and skills to effectively use SAP Analytics Cloud to create and manage analytics applications. SAP Certified Application Associate - SAP Analytics Cloud certification is recognized globally and can enhance a candidate's career prospects in the field of business analytics. Moreover, certified professionals can leverage their skills to help organizations make data-driven decisions and improve their overall business performance.
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To prepare for the SAP C-SAC-2202 certification exam, candidates can take advantage of various resources, including SAP's official training courses, study guides, and practice exams. Candidates can also join online communities and forums to connect with other SAP Analytics Cloud professionals and gain insights into the exam. With the right preparation, candidates can pass the SAP C-SAC-2202 certification exam and demonstrate their proficiency in SAP Analytics Cloud.
SAP C_SAC_2202 (SAP Certified Application Associate - SAP Analytics Cloud) certification exam is a valuable accreditation for professionals who want to demonstrate their knowledge and skills in SAP Analytics Cloud. C_SAC_2202 exam is intended for individuals who have a fundamental understanding of business analytics concepts and want to gain expertise in using SAP Analytics Cloud. SAP Certified Application Associate - SAP Analytics Cloud certification exam evaluates the candidate's proficiency in areas such as data modeling, data analysis, and data visualization.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Business Intelligence & Story Design | 20% | - Filters, calculations, and exploration - Digital Boardroom and mobile features - Create and format stories/dashboards |
| Topic 2: Administration, Security & Integration | 15% | - System administration and security - User roles, permissions, and folders - SAP and non-SAP system integration |
| Topic 3: Predictive Analytics & Machine Learning | 12% | - Smart features and predictive forecasting - Integration of ML algorithms |
| Topic 4: Data Preparation and Modeling | 18% | - Data modeling and transformation - Dimensions, measures, and hierarchies - Data acquisition and connections |
| Topic 5: Analytics Designer & Office Integration | 12% | - SAP Analysis for Microsoft Office - Build analytic applications |
| Topic 6: Overview and Core Functionality | 8% | - SAP Analytics Cloud architecture and positioning - Unified analytics: BI, Planning, Predictive |
| Topic 7: Planning Functionality | 15% | - Allocations, data actions, and workflows - Planning models and versions |
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