SAP C-SAC-2601 Exam Information and Actual Questions

  • Exam Code/Number: C-SAC-2601
  • Exam Name/Title: SAP Certified - Data Analyst - SAP Analytics Cloud
  • Certification Provider: SAP
  • Corresponding Certification: SAP Certification Exams
  • Exam Questions: 123
  • Updated On: Aug 29, 2026

C-SAC-2601
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SAP
C-SAC-2601 Exam
SAP Certified - Data Analyst - SAP Analytics Cloud

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SAP C-SAC-2601 Exam Overview:

Certification Vendor:SAP
Exam Name:SAP Certified - Data Analyst - SAP Analytics Cloud
Exam Number:C-SAC-2601
Exam Format:Practical assessment, Scenario-based assessment, AI Role-Play
Certificate Validity Period:SAP certifications typically require stay-current assessments
Exam Price:$1308 USD
Exam Duration:120 minutes
Real Exam Qty:10 scenario-based role plays
Available Languages:English
Related Certifications:SAP Certified - Data Analyst - SAP Analytics Cloud
Passing Score:60%
Sample Questions:SAP C-SAC-2601 Sample Questions
Exam Way:Online proctored exam via SAP certification platform with AI role-play scenario assessment.
Pre Condition:No mandatory prerequisite exam. SAP recommends hands-on experience with SAP Analytics Cloud and completion of related SAP Learning Journeys.
Official Syllabus URL:https://learning.sap.com/certifications/sap-certified-associate-data-analyst-sap-analytics-cloud-1

SAP C-SAC-2601 Exam Syllabus Topics:

SectionWeightObjectives
Performance, Troubleshooting, and Security Management10% or less- Administration and optimization
  • 1. System administration
  • 2. Performance optimization
  • 3. Troubleshooting
  • 4. Security and authorization
Data Modeling, Analysis, and Integration21% - 30%- Modeling and analytics
  • 1. Measures and dimensions
  • 2. Data blending and analysis
  • 3. Hierarchies and calculations
  • 4. Build data models
  • 5. Data integration
Planning21% - 30%- Planning functionality
  • 1. Advanced planning features
  • 2. Planning workflows
  • 3. Version management
  • 4. Manual planning
Connections and Data Preparation11% - 20%- Connectivity and preparation
  • 1. Data wrangling
  • 2. Data connections
  • 3. Data cleansing and transformation
  • 4. Import and live connections
Story Design21% - 30%- Create and manage stories
  • 1. Configure visualizations
  • 2. Data exploration and storytelling
  • 3. Apply filters and calculations
  • 4. Design dashboards and presentations


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