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Passing the C_SAC_2202 exam can provide you with several benefits. First, it can help demonstrate your expertise in SAP Analytics Cloud, which can enhance your credibility and marketability as a consultant or professional. Second, it can increase your chances of getting hired by companies that use SAP Analytics Cloud. Third, it can provide you with access to SAP's community of certified professionals, which can be a valuable resource for networking and professional development.
Reference: https://training.sap.com/certification/c_sac_2202-sap-certified-application-associate---sap-analytics-cloud-g/
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SAP C-SAC-2202 exam is a valuable and prestigious professional certification program for individuals who work or aspire to work in the field of SAP Analytics Cloud. SAP Certified Application Associate - SAP Analytics Cloud (C_SAC_2202日本語版) certification program validates the skills and knowledge of candidates and provides numerous career benefits, such as increased credibility, better opportunities, and access to a vibrant community of certified professionals. Passing the exam requires a solid understanding of the concepts and functions of SAP Analytics Cloud, which can be obtained through training, self-study, and relevant work experience.
SAP C_SAC_2202日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Predictive Analytics & Machine Learning | 12% | - Smart features and predictive forecasting
- Integration of ML algorithms
|
| Overview and Core Functionality | 8% | - SAP Analytics Cloud architecture and positioning
- Unified analytics: BI, Planning, Predictive
|
| Administration, Security & Integration | 15% | - System administration and security
- SAP and non-SAP system integration
- User roles, permissions, and folders
|
| Analytics Designer & Office Integration | 12% | - SAP Analysis for Microsoft Office
- Build analytic applications
|
| Planning Functionality | 15% | - Allocations, data actions, and workflows
- Planning models and versions
|
| Business Intelligence & Story Design | 20% | - Digital Boardroom and mobile features
- Filters, calculations, and exploration
- Create and format stories/dashboards
|
| Data Preparation and Modeling | 18% | - Data acquisition and connections
- Data modeling and transformation
- Dimensions, measures, and hierarchies
|