SAP Certified Application Associate - SAP Analytics Cloud: Planning C_SACP_2021 Certified Exam Dumps

C_SACP_2021 Exam Dumps

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Certification Provider: SAP
Exam Code / Number: C_SACP_2021
Exam Name: SAP Certified Application Associate - SAP Analytics Cloud: Planning
Exam Questions: 0
Corresponding Certification: SAP Certification

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SAP C_SACP_2021 is a highly sought-after certification exam for professionals engaged in SAP Analytics Cloud Planning. C_SACP_2021 exam enables professionals to showcase their skills and knowledge in the field of SAP Analytics Cloud (SAC) and Planning.

The SAP Certified Application Associate - SAP Analytics Cloud: Planning certification exam is intended for individuals who have a basic understanding of SAC Planning and who want to take their knowledge to the next level. C_SACP_2021 exam covers various topics, including data modeling, planning models, and input forms, among others. Individuals who pass the exam will be recognized as SAP Certified Application Associates in SAC Planning, which will validate their knowledge and skills in this area.

SAP C_SACP_2021 Exam Syllabus Topics:

SectionObjectives
SAP Analytics Cloud Fundamentals- Overview of SAP Analytics Cloud components
  • 1. Core capabilities of SAC
    • 2. Architecture and deployment options
      Security and Administration- Data security
      • 1. Privacy and governance
        • 2. Data access restrictions
          - User management
          • 1. Teams and access control
            • 2. Roles and permissions
              Stories and Visualization- Planning features in stories
              • 1. Value driver trees
                • 2. Input controls and planning tables
                  - Story design
                  • 1. Charts and widgets
                    • 2. Responsive layouts
                      Planning in SAP Analytics Cloud- Data actions and allocations
                      • 1. Allocation processes
                        • 2. Data action creation and usage
                          - Planning model setup
                          • 1. Dimensions and measures
                            • 2. Model types and structures
                              Data Modeling and Integration- Model management
                              • 1. Version management
                                • 2. Data wrangling and preparation
                                  - Data connectivity
                                  • 1. Import vs live connections
                                    • 2. Data sources integration


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