SAP Predictive Analytics software enables users to create predictive models quickly and easily. It uses advanced analytics and machine learning algorithms to identify patterns and trends in data, allowing users to make more accurate predictions and better decisions. The software also provides users with the ability to deploy predictive models to other SAP applications such as SAP BusinessObjects, SAP HANA, and SAP S/4HANA.
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SAP C_PAII10_35 (SAP Certified Application Associate - SAP Predictive Analytics) Certification Exam is designed for professionals who want to validate their skills in leveraging the power of predictive analytics for business success. SAP Certified Application Associate - SAP Predictive Analytics certification exam is ideal for professionals who work with SAP Predictive Analytics software and want to demonstrate their expertise in using the tool for data analysis, modeling, and forecasting. C_PAII10_35 exam is based on the latest version of SAP Predictive Analytics, and covers topics such as data preparation, data modeling, predictive modeling techniques, and deployment of predictive models.
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SAP C_PAII10_35 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Regression Modeling with Modeler | <8% | - Regression model development - Validation and application of regression models |
| Data Manager | <8% | - Data manipulation and dataset creation - Scheduling and task management |
| Data Science Supporting Automated Analytics | 8% - 12% | - Role of data science in predictive analytics - Data pre-processing |
| Classification Modeling with Modeler | 12% | - Model evaluation and application - Classification model building |
| Clustering with Automated Analytics | 8% - 12% | - Analyzing cluster results - Clustering techniques and application |
| Basics of Automated Analytics | <8% | - Automated analytics core capabilities - Operational workflows |
| Time Series with Modeler | 8% - 12% | - Forecast analysis - Time series model creation |
| Predictive Factory | 12% | - Predictive Factory architecture and components - Model deployment and management |
| Social and Recommendation | <8% | - Recommendation model usage - Social data analysis concepts |
| Introduction to Predictive Analytics | 12% | - Fundamental predictive analytics concepts - Key features of SAP Predictive Analytics |
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