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Once the candidate passes the SAP C_PAII10_35 certification exam, they become a SAP Certified Application Associate in SAP Predictive Analytics. SAP Certified Application Associate - SAP Predictive Analytics certification is globally recognized and can open up several career opportunities in the field of predictive analytics. SAP certified professionals are highly valued by organizations as they have demonstrated their expertise in using SAP Predictive Analytics to solve real-world business problems.
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Candidates for the SAP C-PAII10-35 exam should have a solid understanding of predictive analytics concepts, processes, and tools. Individuals who have prior experience using SAP Predictive Analytics will have an advantage when it comes to taking the exam. However, anyone who is highly skilled in analytics and has experience with other predictive analytics tools should also be able to pass the test after studying the course material. With this certification, candidates are well-positioned to advance their careers in the field of predictive analytics.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Manager | <8% | - Scheduling and task management - Data manipulation and dataset creation |
| Topic 2: Social and Recommendation | <8% | - Recommendation model usage - Social data analysis concepts |
| Topic 3: Time Series with Modeler | 8% - 12% | - Forecast analysis - Time series model creation |
| Topic 4: Classification Modeling with Modeler | 12% | - Model evaluation and application - Classification model building |
| Topic 5: Basics of Automated Analytics | <8% | - Automated analytics core capabilities - Operational workflows |
| Topic 6: Data Science Supporting Automated Analytics | 8% - 12% | - Data pre-processing - Role of data science in predictive analytics |
| Topic 7: Regression Modeling with Modeler | <8% | - Regression model development - Validation and application of regression models |
| Topic 8: Clustering with Automated Analytics | 8% - 12% | - Clustering techniques and application - Analyzing cluster results |
| Topic 9: Predictive Factory | 12% | - Predictive Factory architecture and components - Model deployment and management |
| Topic 10: Introduction to Predictive Analytics | 12% | - Fundamental predictive analytics concepts - Key features of SAP Predictive Analytics |
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