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SAP P_PAII10_25 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Predictive Modeling Techniques30%- Integration with SAP HANA PAL and APL
- Model configuration and parameter tuning
- Regression, classification, clustering, and time series models
- Supervised and unsupervised learning methods
Topic 2: Model Validation and Evaluation15%- Performance metrics and quality assessment
- Interpretation of results and reports
- Overfitting detection and prevention
Topic 3: Deployment and Integration10%- Operationalizing predictive workflows
- Integration with SAP systems and external tools
- Model deployment options
Topic 4: Introduction to SAP Predictive Analytics20%- Use cases and business applications
- Overview of Automated Analytics and Expert Analytics interfaces
- Predictive analytics concepts and workflow
Topic 5: Data Preparation and Manipulation25%- Handling missing values and outliers
- Feature engineering and variable selection
- Data connection and acquisition
- Data cleaning, filtering, and transformation

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