SAP C_SAC_2208 Exam Details & Actual Exam Questions

  • Exam Code/Number: C_SAC_2208
  • Exam Name/Title: SAP Certified Application Associate - SAP Analytics Cloud
  • Certification Provider: SAP
  • Corresponding Certification: SAP Certified Application Associate
  • Exam Questions: 154
  • Updated On: Sep,06 2026
  • Certification Level: Associate

SAP Certified Application Associate - SAP Analytics Cloud Exam Questions

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SAP C_SAC_2208 Exam Overview:

Certification Vendor:SAP
Exam Name:SAP Certified Application Associate - SAP Analytics Cloud
Exam Number:C_SAC_2208
Exam Duration:180 minutes
Related Certifications:SAP Certified Application Associate - SAP Analytics Cloud: Planning (C_SACP_2208)
Real Exam Qty:80
Exam Price:$250 - $560 USD
Certificate Validity Period:5 years
Exam Format:Multiple response, Multiple choice, Scenario-based
Passing Score:57%
Available Languages:Portuguese, English, Spanish, Japanese
Recommended Training:SACMS1 - SAP Analytics Cloud: Modeling and Story Design
SAC01 - SAP Analytics Cloud: Core Functionality
Exam Registration:SAP Training & Certification Shop
Pearson VUE
Sample Questions:SAP C_SAC_2208 Sample Questions
Exam Way:Online proctored or onsite testing at Pearson VUE centers
Pre Condition:Recommended basic knowledge of SAP Analytics Cloud and business intelligence concepts; no mandatory prerequisites
Official Syllabus URL:https://training.sap.com/certification/c_sac_2208-sap-certified-application-associate---sap-analytics-cloud-g/

SAP C_SAC_2208 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Overview and Core Functionality8% - 12%- Core navigation and user interface
- SAP Analytics Cloud architecture and positioning
Topic 2: Content Presentation, Sharing and Collaboration>12%- Mobile access and sharing options
- Digital Boardroom configuration
- Collaboration and commenting features
Topic 3: Administration, Connections and Integration8% - 12%- User, role, and folder security
- Connect to SAP and non-SAP data sources
- System administration and monitoring
Topic 4: Predictive Analytics>12%- Predictive planning integration
- Forecasting and machine learning scenarios
- Smart Discovery and Smart Insights
Topic 5: Business Intelligence>12%- Use charts, tables, and visualizations
- Design and build stories and dashboards
- Filtering, calculations, and hierarchies
Topic 6: Data Preparation and Data Models>12%- Create and manage dimensions and models
- Data validation and quality
- Data import and transformation
Topic 7: Analytics Designer and Microsoft Office Integration8% - 12%- Build custom analytic applications
- Excel integration workflows
- SAP Analysis for Microsoft Office usage


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