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SAP C_SAC_2402 Exam Topics Overview

1. Data Modeling, Analysis, and Integration (21%-30%)
   • Key Tasks:
     • Create and configure data models in SAP Analytics Cloud (SAC).
     • Understand and describe the main features and role of the Data Analyzer.
     • Integrate SAC with external applications, utilizing live and imported data connections.
   • Focus Areas:
     • Working with different types of models (planning, analytic).
     • Customizing models to meet business needs.
     • Best practices for integrating SAC with external systems (SAP BW, SAP HANA, etc.).
   • Related Topics:
     • SACE11 (SAC 2024.15)
     • SACP21 (SAC 2024.15)
     • Exploring SAC
2. Story Design (21%-30%)
   • Key Tasks:
     • Design and present stories, creating engaging and interactive visualizations.
     • Configure story elements like pages, tables, charts, and other widgets.
     • Format and manipulate data, including applying filters to meet reporting requirements.
   • Focus Areas:
     • Designing effective visualizations and dashboards.
     • Customizing the layout and structure of stories for different audiences.
     • Applying design principles to maximize the impact of stories.
   • Related Topics:
     • SACS21 (SAC 2024.15)
     • SACE11 (SAC 2024.15)
     • Designing stories in SAC
3. Enterprise Planning (21%-30%)
   • Key Tasks:
     • Work with planning models and stories in SAC for enterprise planning.
     • Configure data actions for automating planning processes.
     • Manage versions for planning scenarios, and perform forecasting and simulations.
   • Focus Areas:
     • Planning in SAC for budgeting, forecasting, and other strategic tasks.
     • Configuring and optimizing data actions to streamline workflows.
     • Running what-if analysis and simulations to predict outcomes.
   • Related Topics:
     • SACP21 (SAC 2024.15)
     • SAC for Enterprise Planning
4. Connections and Data Preparation (11%-20%)
   • Key Tasks:
     • Identify different ways SAC can access data and determine appropriate use cases for each.
     • Differentiate among types of models and datasets used within SAC.
     • Understand how to prepare and clean data for analysis in SAC.
   • Focus Areas:
     • Data connections (live and import) to external systems (cloud, on-premise).
     • Transforming and preparing data using SAC tools and best practices.
     • Model types (planning vs. analytic) and their usage.
   • Related Topics:
     • SACS21 (SAC 2024.15)
     • SACE11 (SAC 2024.15)
     • Designing stories in SAC
5. Performance, Troubleshooting, and Security Management (≤10%)
   • Key Tasks:
     • Identify and resolve performance bottlenecks within SAC stories and models.
     • Describe the security model used in SAP Analytics Cloud, including user roles and data access management.
     • Troubleshoot common issues in SAC deployments and optimize performance.
   • Focus Areas:
     • Performance tuning for large datasets and complex stories.
     • Security best practices and governance within SAC.
     • Troubleshooting workflows, connectivity issues, and story performance problems.
   • Related Topics:
     • SACE11 (SAC 2024.15)
     • SACS21 (SAC 2024.15)
     • SAC for Enterprise Planning

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