SAP C-SAC-2102 Exam Details & Actual Exam Questions
- Exam Code/Number: C-SAC-2102
- Exam Name/Title: SAP Certified Application Associate - SAP Analytics Cloud
- Certification Provider: SAP
- Corresponding Certification: SAP Certified Application Associate
- Exam Questions: 134
- Updated On: Jul,23 2026
- Certification Level: Associate
SAP Certified Application Associate - SAP Analytics Cloud Exam Questions
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(30 Up Votes)SAP C-SAC-2102 Exam Overview:
| Certification Vendor: | SAP |
| Exam Name: | SAP Certified Application Associate - SAP Analytics Cloud |
| Exam Number: | C_SAC_2102 |
| Available Languages: | English |
| Passing Score: | 65% |
| Exam Price: | USD 550 (may vary by country/region) |
| Exam Format: | Multiple Choice, Multiple Response |
| Real Exam Qty: | 80 |
| Exam Duration: | 180 minutes |
| Related Certifications: | SAP Certified Application Associate - SAP Analytics Cloud (Planning) SAP Certified Technology Associate - SAP Analytics Cloud |
| Certificate Validity Period: | Typically 5 years (subject to SAP certification policy changes) |
| Recommended Training: | SAP Learning Journey - SAP Analytics Cloud |
| Exam Registration: | SAP Certification Official Registration |
| Sample Questions: | SAP C-SAC-2102 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | Basic knowledge of SAP Analytics Cloud and general analytics concepts is recommended. |
| Official Syllabus URL: | https://training.sap.com/certification |
SAP C-SAC-2102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: SAP Analytics Cloud Overview | - Architecture and core components - Product capabilities overview |
| Topic 2: Security and Administration | - Content management - User roles and permissions |
| Topic 3: Stories and Data Visualization | - Charts, tables, and widgets - Story design and layout - Filters and input controls |
| Topic 4: Planning Capabilities | - Data entry and versioning - Allocations and distributions - Planning models |
| Topic 5: Data Connectivity and Integration | - Data acquisition and preparation - Data sources and connections
|
| Topic 6: Data Modeling | - Model creation and configuration
|
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