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SAP C-SAC-2202 exam is a computer-based exam that comprises of 80 multiple-choice questions. C-SAC-2202-JPN exam duration is 180 minutes, and candidates must achieve a minimum score of 68% to pass the exam. C-SAC-2202-JPN exam covers various topics such as data modeling, data visualization, data analysis, and collaboration in SAP Analytics Cloud.
SAP C-SAC-2202 exam consists of 80 multiple-choice and multiple-response questions that must be answered within 180 minutes. C-SAC-2202-JPN exam is available in English, Japanese, Korean, and Simplified Chinese. To become certified, candidates must achieve a minimum score of 65%. Successful candidates will receive the SAP Certified Application Associate - SAP Analytics Cloud certification, which is valid for two years.
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The SAP Certified Application Associate - SAP Analytics Cloud (C_SAC_2202日本語版) certification exam is intended for professionals who have experience using SAP Analytics Cloud in a business environment. Candidates should have a good understanding of how to use the software to create data models, perform data analysis, and create visualizations. They should also be familiar with the features and functionality of SAP Analytics Cloud, including the ability to create interactive dashboards and reports.
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SAP C_SAC_2202 certification exam is designed for professionals who are looking to validate their expertise in using SAP Analytics Cloud. C-SAC-2202-JPN exam is intended for individuals who have experience with data modeling, data analysis, and creating visualizations using SAP Analytics Cloud. SAP Certified Application Associate - SAP Analytics Cloud (C_SAC_2202日本語版) certification exam is a great way for professionals to showcase their skills and knowledge in the field of analytics and data visualization.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Overview and Core Functionality | 8% | - Unified analytics: BI, Planning, Predictive - SAP Analytics Cloud architecture and positioning |
| Topic 2: Administration, Security & Integration | 15% | - System administration and security - User roles, permissions, and folders - SAP and non-SAP system integration |
| Topic 3: Data Preparation and Modeling | 18% | - Data acquisition and connections - Dimensions, measures, and hierarchies - Data modeling and transformation |
| Topic 4: Predictive Analytics & Machine Learning | 12% | - Smart features and predictive forecasting - Integration of ML algorithms |
| Topic 5: Planning Functionality | 15% | - Allocations, data actions, and workflows - Planning models and versions |
| Topic 6: Analytics Designer & Office Integration | 12% | - Build analytic applications - SAP Analysis for Microsoft Office |
| Topic 7: Business Intelligence & Story Design | 20% | - Create and format stories/dashboards - Filters, calculations, and exploration - Digital Boardroom and mobile features |
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