C_SACP_2102 Exam Dumps
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| Certification Provider: | SAP |
|---|---|
| Exam Code / Number: | C_SACP_2102 |
| Exam Name: | SAP Certified Application Associate - SAP Analytics Cloud: Planning |
| Exam Questions: | 82 |
| Last Updated: | Jul 12, 2026 |
| Corresponding Certification: | SAP Certified Application Associate |
(183 Up Votes)SAP C-SACP-2102 exam is a 180-minute long exam consisting of 80 multiple-choice questions. To pass the exam, a candidate must achieve a score of at least 68%. C_SACP_2102 exam fee is approximately $550 USD. C_SACP_2102 exam is ideal for business analysts, consultants, and IT professionals who are looking to broaden their knowledge and gain expertise in SAP Analytics Cloud Planning.
SAP C-SACP-2102 certification exam is a valuable credential for professionals who want to demonstrate their expertise in SAP Analytics Cloud: Planning. SAP Certified Application Associate - SAP Analytics Cloud: Planning certification can help individuals advance their careers in various roles, including SAP Analytics consultant, SAP Planning consultant, SAP Solution architect, and more. SAP Certified Application Associate - SAP Analytics Cloud: Planning certification also provides access to a community of SAP Analytics Cloud experts, who can provide support and guidance to certified professionals.
SAP C-SACP-2102 certification exam is designed for professionals who are interested in gaining expertise in SAP Analytics Cloud: Planning. SAP Certified Application Associate - SAP Analytics Cloud: Planning certification is ideal for individuals who work with SAP Analytics Cloud on a daily basis and want to improve their skills in planning and reporting. C_SACP_2102 exam focuses on various topics such as data modeling, planning models, and data sources, among others.
SAP C_SACP_2102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Security and Data Control | - Data locking and security
|
| SAP Analytics Cloud Planning Fundamentals | - Data integration and connectivity
|
| Collaboration and Story Design | - Stories and analytic applications
|
| Planning Processes and Data Management | - Data actions and advanced formulas
|