SAP C_SAC Certification Exam Syllabus

SAP C_SAC certification syllabus and learning journey for the SAP Certified - Data Analyst - SAP Analytics Cloud exam

This page provides a structured overview of the official syllabus for the SAP Certified - Data Analyst - SAP Analytics Cloud certification exam. The SAP C_SAC certification evaluates applied knowledge and implementation understanding within the SAP Analytics Cloud for planning, SAP Business Data Cloud environment. Candidates preparing for this certification are expected to understand configuration concepts, integrated business processes, and the reasoning patterns required to make implementation decisions within real SAP environments.

The syllabus outline below summarizes the major competency domains associated with the SAP Analytics Cloud Data Analyst certification and reflects the topics typically covered in the official SAP learning journey. Reviewing these areas helps candidates understand the knowledge domains, exam structure, and preparation scope that guide study for the SAP C_SAC certification exam. Modern SAP certification exams emphasize scenario-based reasoning, decision-making, and system behavior interpretation rather than isolated topic knowledge.

SAP C_SAC Certification Exam Summary

Exam Name SAP Certified - Data Analyst - SAP Analytics Cloud
Exam Code C_SAC » SAP Analytics Cloud Data Analyst Certification Practice Exam
Certification Level Associate
Exam Format Scenario-based Assessment (SBA)
Exam Duration 120 minutes
Passing Score 60%
Exam Price $578 (USD)
Product SAP Analytics Cloud for planning, SAP Business Data Cloud
Certification Validity 12 months (mandatory yearly renewals)
Official Exam Registration SAP Learning Certification Portal
Sample Questions SAP C_SAC Certification Sample Questions

SAP C_SAC Learning Journey and Preparation Resources

SAP provides structured learning journeys through the SAP Learning platform that guide candidates through recommended courses, hands-on exercises, and supporting materials for each certification. The official learning journey for the C_SAC certification outlines the topics, system capabilities, and implementation practices expected from professionals preparing for the SAP Certified - Data Analyst - SAP Analytics Cloud certification. Candidates can review the official SAP C_SAC learning journey to explore the complete training path recommended by SAP.

Type Title Description
Course
Exploring SAP Analytics Cloud
Build core skills, complete basic tasks, and gain the foundational knowledge required to work effectively in SAP Analytics Cloud. (SACE11)
Course
Designing Stories in SAP Analytics Cloud
Create stories and effectively work with your data to create impactful visualizations. (SACS21)
Course
Performing Manual Planning with SAP Analytics Cloud
Develop the planning skills required to perform manual input tasks, including versions, planning models, data entry and update, and seamless planning. (SACP23)
Course
Leveraging Advanced Features in SAP Analytics Cloud for Planning
Build on core planning skills and master advanced planning functionality such as data actions, simulation tools, and process control. (SACP34)

Core Skills Measured in the SAP C_SAC Exam

The SAP C_SAC certification measures applied skills in SAP Analytics Cloud data analysis, story design, data modeling, and planning. Candidates are expected to understand how to navigate the SAP Analytics Cloud environment, work with data sources and models, create analytical stories, and use filters, calculations, exploration, blending, and sorting to support business analysis. The exam also evaluates planning-related reasoning, including manual planning, versions, dimensions, planning tables, data entry, and output validation. Because the SAP Certified - Data Analyst - SAP Analytics Cloud certification follows a scenario-based assessment model, candidates must apply these skills in practical decision contexts, where system behavior, configuration choices, and planning outcomes influence the correct answer.

Core Knowledge Areas Covered

The SAP Certified - Data Analyst - SAP Analytics Cloud certification covers knowledge areas that connect analytics, modeling, visualization, planning, and validation. Candidates should understand SAP Analytics Cloud system navigation, feature differentiation, data source connectivity, data preparation, and model creation. They must also know how analytical stories are designed, configured, formatted, filtered, calculated, explored, sorted, and presented. Planning knowledge includes model setup, versions, dimension management, planning tables, manual entry modes, planning panels, and process coordination. Advanced areas include planning automation, data actions, allocations, currency conversion, predictive planning, simulation, value driver trees, compass, and calendar-based collaboration. These areas should be studied as connected capabilities rather than isolated topics.

Understanding the SAP C_SAC Certification Scope

The SAP C_SAC exam evaluates decision-making within realistic SAP Analytics Cloud scenarios. Candidates are expected to apply analytics reasoning involving model setup, story interpretation, planning logic, and output validation. Questions may combine multiple knowledge areas, such as how data preparation affects a model, how a model supports a story, or how planning inputs influence validated outputs. The certification scope emphasizes configuration decision-making, system behavior interpretation, planning output validation, analytical output validation, and troubleshooting of dependencies. Success depends on understanding why a particular decision works in SAP Analytics Cloud and why alternative actions may not satisfy the scenario requirement.

Recommended SAP Learning Path

The recommended learning path for the SAP C_SAC exam begins with foundational SAP Analytics Cloud knowledge, including navigation, core features, data sources, modeling, stories, planning, augmented analytics, and collaboration. Candidates then progress into story design, where they learn how to build, configure, manipulate, and present analytical content. The path continues with manual planning concepts, including planning models, versions, dimensions, planning tables, planning panels, and seamless planning. Advanced preparation should cover data actions, planning functions, allocations, currency conversion, predictive and simulation features, and calendar-based process control. This sequence supports the applied SAP Analytics Cloud configuration understanding and scenario-based reasoning expected in the certification.

Preparation Guidance for the SAP C_SAC Exam

Candidates preparing for the SAP C_SAC certification should follow the official learning journey structure and build knowledge progressively from foundational SAP Analytics Cloud concepts to advanced planning capabilities. Preparation should begin with topic-level understanding of navigation, modeling, stories, planning, and analytical features, then move into scenario-based practice that combines these areas. Candidates should develop consultant-style decision-making by asking how a business requirement translates into a story, model, planning configuration, or validation step. Effective study also requires validation-driven reasoning: understanding why the correct action works in SAP Analytics Cloud, how system behavior supports it, and why other options may not meet the required outcome.

Preparing for the SAP Analytics Cloud Data Analyst

Candidates preparing for the SAP SAP Certified - Data Analyst - SAP Analytics Cloud exam can also explore structured preparation resources, including the SAP C_SAC practice exam platform, the sample SAP C_SAC questions, and the SAP C_SAC exam FAQs. These resources help candidates understand exam expectations, develop scenario-based reasoning, and build the decision-making and validation skills required for modern SAP certification exams.

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