SAP C-SAC-2002 (SAP Certified Application Associate - SAP Analytics Cloud) certification exam is designed for individuals who wish to demonstrate their knowledge and skills in SAP Analytics Cloud. SAP Analytics Cloud is a cloud-based solution that allows organizations to analyze data from various sources and gain insights that can help them make informed business decisions. SAP Certified Application Associate - SAP Analytics Cloud certification exam is designed to test the candidate's knowledge of key concepts, as well as their ability to use SAP Analytics Cloud to solve real-world problems.
SAP C-SAC-2002 certification exam is a comprehensive test that covers various topics related to SAP Analytics Cloud, including data modeling, data analysis, data visualization, and collaboration. C-SAC-2002 exam consists of 80 multiple-choice questions that need to be completed within 180 minutes. Candidates need to score at least 68% to pass the exam and receive the SAP Certified Application Associate - SAP Analytics Cloud certification. SAP Certified Application Associate - SAP Analytics Cloud certification can help professionals advance their career in the field of SAP Analytics and provide them with recognition for their skills and expertise.
SAP C-SAC-2002 certification exam is an excellent opportunity for professionals to validate their knowledge and skills in SAP Analytics Cloud. By passing the exam, candidates can demonstrate their expertise to their employers and clients and enhance their career prospects. With the right training and preparation, anyone can pass the SAP C-SAC-2002 certification exam and become a certified SAP Analytics Cloud professional.
SAP C-SAC-2002 Exam Overview:
| Certification Vendor: | SAP |
| Exam Name: | SAP Certified Application Associate - SAP Analytics Cloud |
| Exam Number: | C_SAC_2002 |
| Exam Price: | ~$249 USD / €200 EUR |
| Exam Duration: | 180 minutes |
| Real Exam Qty: | 80 - 90 |
| Passing Score: | 65% |
| Related Certifications: | SAP Certified Application Associate - SAP Analytics Cloud (C_SAC_2102) C_SAC_2202 C_SAC_2302 |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Choice, Multiple Response |
| Available Languages: | English, German, French, Spanish, Portuguese |
| Recommended Training: | SAP Learning Hub SAC Foundation & Modeling Courses |
| Exam Registration: | Pearson VUE SAP Certification Hub |
| Sample Questions: | SAP C-SAC-2002 Sample Questions |
| Exam Way: | Online proctored via SAP Certification Hub or onsite at Pearson VUE test centers; **Retired, no longer available for registration** |
| Pre Condition: | No mandatory prerequisites; basic knowledge of BI and data analysis recommended |
| Official Syllabus URL: | https://training.sap.com/certification/c_sac_2002 |
SAP C-SAC-2002 exam is designed for individuals who work or aspire to work with SAP Analytics Cloud. SAP Certified Application Associate - SAP Analytics Cloud certification exam measures the candidate’s knowledge and skills in areas such as data modeling, data preparation, story creation, and sharing, data analysis, and data visualization. C-SAC-2002 exam is vendor-agnostic and does not require the knowledge of any specific cloud platform.
SAP C-SAC-2002 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Planning Functions | 12% - 18% | - Planning models and data actions - Version management and allocations |
| Topic 2: Connections and Data Integration | 12% - 18% | - Live connections and import connections - Connecting to SAP and non-SAP sources |
| Topic 3: Story Design and Analytics | 25% - 30% | - Filters, calculations, and visualizations - Building interactive stories and dashboards - Augmented analytics features |
| Topic 4: Administration, Security, and Troubleshooting | 8% - 12% | - Content management and transport - User roles, permissions, and security - System monitoring and performance |
| Topic 5: SAP Analytics Cloud Overview and Architecture | 8% - 12% | - System landscape and positioning - Key capabilities and navigation |
| Topic 6: Data Preparation and Modeling | 20% - 25% | - Creating dimensions, measures, and hierarchies - Data wrangling and transformation - Model types: Analytical and Planning |
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