SAP C-SAC-2501 Exam Details & Actual Exam Questions

  • Exam Code/Number: C-SAC-2501
  • Exam Name/Title: SAP Certified Associate - Data Analyst - SAP Analytics Cloud
  • Certification Provider: SAP
  • Corresponding Certification: SAP Certified Associate
  • Exam Questions: 62
  • Updated On: Sep,13 2026
  • Certification Level: Associate

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Questions

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SAP C-SAC-2501 Exam Overview:

Certification Vendor:SAP
Exam Name:SAP Certified Associate - Data Analyst - SAP Analytics Cloud
Exam Number:C-SAC-2501
Real Exam Qty:60 - 62
Exam Price:$500 - $600 USD
Related Certifications:SAP Certified Specialist - Data Analyst - SAP Analytics Cloud
SAP Certified Professional - Data Analyst - SAP Analytics Cloud
Available Languages:English
Exam Format:Multiple choice, Multiple response
Certificate Validity Period:3 years
Passing Score:70%
Exam Duration:120 minutes
Recommended Training:Data Modeling and Visualization in SAP Analytics Cloud
Exploring SAP Analytics Cloud
Exam Registration:SAP Learning Hub
SAP Certification Shop
Sample Questions:SAP C-SAC-2501 Sample Questions
Exam Way:Online proctored or onsite at SAP authorized test centers
Pre Condition:Basic knowledge of data analytics, visualization concepts, and familiarity with SAP ecosystem; recommended to complete 'Exploring SAP Analytics Cloud' learning journey
Official Syllabus URL:https://learning.sap.com/certifications/sap-certified-associate-data-analyst-sap-analytics-cloud-1

SAP C-SAC-2501 Exam Syllabus Topics:

SectionWeightObjectives
Planning Features15% - 20%- Use planning functions and workflows
  • 1. Configure value driver trees and allocations
    • 2. Create data actions and multi actions
      - Set up planning models and versions
      • 1. Define planning hierarchy and time structures
        • 2. Manage public and private versions
          Connections and Data Preparation10% - 15%- Data transformation and preparation
          • 1. Create calculated measures and attributes
            • 2. Clean, enrich, and validate data
              - Establish and manage connections
              • 1. Secure connection configuration
                • 2. Troubleshoot connection issues
                  Analytics and Smart Features10% - 15%- Apply predictive and advanced analytics
                  • 1. Use forecasting and simulation capabilities
                    • 2. Run Smart Insights and Smart Discovery
                      - Collaboration and sharing
                      • 1. Use comments and task management
                        • 2. Share stories and datasets
                          Administration, Performance, and Security8% - 12%- Troubleshoot and maintain environment
                          • 1. Apply best practices for governance
                            • 2. Identify and resolve common issues
                              - Manage system and security settings
                              • 1. Monitor and optimize performance
                                • 2. Configure roles, permissions, and data access
                                  Story Design and Navigation20% - 25%- Build interactive stories and dashboards
                                  • 1. Design responsive pages and layouts
                                    • 2. Apply visualization types and formatting
                                      - Add interactivity and navigation
                                      • 1. Use bookmarks and navigation features
                                        • 2. Configure filters, input controls, and drill-down
                                          Data Modeling, Analysis, and Integration15% - 20%- Create and manage data models
                                          • 1. Define dimensions, measures, and hierarchies
                                            • 2. Configure model properties and data granularity
                                              - Integrate data sources
                                              • 1. Connect to SAP and non-SAP systems
                                                • 2. Use live and acquired data connections


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