SAP Certified Application Associate - SAP Analytics Cloud C-SAC-2008 Certified Exam Dumps

C-SAC-2008 Exam Dumps

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Certification Provider: SAP
Exam Code / Number: C-SAC-2008
Exam Name: SAP Certified Application Associate - SAP Analytics Cloud
Exam Questions: 90
Last Updated: Jul 06, 2026
Corresponding Certification: SAP Certified Application Associate

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SAP C-SAC-2008 certification exam consists of 80 multiple-choice questions and has a time limit of 180 minutes. C-SAC-2008 exam is available in English and other languages, and candidates can take it online or in person at an SAP training center. To pass the exam, candidates must score at least 69%. C-SAC-2008 exam covers a variety of topics, including SAP Analytics Cloud architecture, data modeling and preparation, data analysis and visualization, and collaboration and administration.

SAP C-SAC-2008 is one of the most sought-after certifications in the field of analytics and data management. C-SAC-2008 exam is designed to test the skills and knowledge of candidates in SAP Analytics Cloud, which is a cloud-based analytics platform that enables businesses to make data-driven decisions. SAP Certified Application Associate - SAP Analytics Cloud certification is ideal for professionals who want to enhance their career in the field of analytics and data management.

SAP C-SAC-2008 Exam Syllabus Topics:

SectionObjectives
Topic 1: SAP Analytics Cloud Overview- Platform Architecture and Core Concepts
  • 1. Integration with SAP ecosystem
    • 2. SAP Analytics Cloud components and capabilities
      Topic 2: Stories and Data Visualization- Story design
      • 1. Charts, tables, and widgets
        • 2. Story filters and interactions
          Topic 3: Planning Capabilities- SAP Analytics Cloud planning
          • 1. Input tasks and data entry
            • 2. Planning models and allocations
              Topic 4: Security and Administration- User and role management
              • 1. Content sharing and access control
                • 2. Roles and permissions
                  Topic 5: Data Connectivity and Data Modeling- Data connections
                  • 1. Live data connections
                    • 2. Import data connections
                      - Data modeling
                      • 1. Datasets and models
                        • 2. Data preparation and transformation


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