SAP C-SAC-2302 certification exam covers a range of topics related to SAP Analytics Cloud, including data modeling, data acquisition, data visualization, and administration. Candidates must have a strong understanding of the SAP Analytics Cloud architecture, including the various components and their interactions, to pass the exam.
To be eligible to take the SAP C-SAC-2302 exam, candidates must have a basic understanding of SAP Analytics Cloud and have completed relevant training courses. C-SAC-2302 exam fee is reasonable, and SAP offers study materials and practice exams to help candidates prepare for the exam.
Reference: https://training.sap.com/certification/c_sac_2302-sap-certified-application-associate---sap-analytics-cloud-g/
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The C-SAC-2302 exam is intended for professionals who have experience working with SAP Analytics Cloud and who are seeking to validate their skills and knowledge. C-SAC-2302 exam covers a range of topics related to SAP Analytics Cloud, including data modeling, data connections, data visualization, and data analysis. Individuals who pass the exam will be recognized as certified SAP Analytics Cloud Application Associates.
SAP C-SAC-2302 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Business Intelligence | 12% | - Design and create stories and analytical applications
- Analysis for Microsoft Office and Analytics Designer usage
|
| Topic 2: Data Preparation: Data Model | 12% | - Design, create, and manage data models
|
| Topic 3: Analytics Designer and Microsoft Office Integration | 8-12 | - Use Analytics Designer and Microsoft Office integration
|
| Topic 4: Overview and Core Functionality | 8-12 | - SAP Analytics Cloud positioning in SAP landscape
- Core functions: BI, Planning, Predictive
|
| Topic 5: Content Presentation, Sharing, Collaboration | 12% | - Digital Boardroom, Mobile, and SAP Analytics Hub usage
|
| Topic 6: Administration, Connections and Integration | 8-12 | - System connections and integration
- Security management: roles, users, folders
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| Topic 7: Predictive Analytics | 8-12 | - Machine learning and predictive analytics usage
|