SAP C-SAC-2202 certification exam consists of 80 multiple-choice questions that must be completed within 180 minutes. C-SAC-2202 exam covers a range of topics, including data acquisition, data modeling, story creation, and analytics. Candidates must demonstrate their ability to use SAP Analytics Cloud to create and manage data models, perform data analysis, create visualizations, and develop stories that communicate insights effectively. Upon successful completion of this certification exam, candidates will be recognized as SAP Certified Application Associates in SAP Analytics Cloud, which can enhance their career prospects and demonstrate their expertise in SAP Analytics Cloud.
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SAP C_SAC_2202 exam is a multiple-choice exam that consists of 80 questions. C-SAC-2202 exam duration is 180 minutes, and candidates must score 68% or higher to pass the exam. C-SAC-2202 exam fee is $550, and it can be taken at any SAP training center or online. SAP Certified Application Associate - SAP Analytics Cloud certification is valid for two years, and candidates must renew their certification to maintain their status as SAP Certified Application Associate.
SAP C-SAC-2202 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview and Core Functionality | 8% | - SAP Analytics Cloud architecture and positioning - Unified analytics: BI, Planning, Predictive |
| Topic 2: Analytics Designer & Office Integration | 12% | - SAP Analysis for Microsoft Office - Build analytic applications |
| Topic 3: Predictive Analytics & Machine Learning | 12% | - Integration of ML algorithms - Smart features and predictive forecasting |
| Topic 4: Administration, Security & Integration | 15% | - User roles, permissions, and folders - System administration and security - SAP and non-SAP system integration |
| Topic 5: Business Intelligence & Story Design | 20% | - Create and format stories/dashboards - Filters, calculations, and exploration - Digital Boardroom and mobile features |
| Topic 6: Planning Functionality | 15% | - Planning models and versions - Allocations, data actions, and workflows |
| Topic 7: Data Preparation and Modeling | 18% | - Data acquisition and connections - Data modeling and transformation - Dimensions, measures, and hierarchies |
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