SAP C_PAII10_35 Exam Topics
SAP Certified Application Associate - SAP Predictive Analytics
Total Questions: 80What is Included in the SAP C_PAII10_35 Exam?
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SAP C_PAII10_35 Exam Overview :
| Exam Name | SAP Certified Application Associate - SAP Predictive Analytics |
| Exam Code | C_PAII10_35 |
| Official Information | https://training.sap.com/certification/c_paii10_35-sap-certified-application-associate--sap-predictive-analytics-g/ |
| See Expected Questions | SAP C_PAII10_35 Expected Questions in Actual Exam |
| Take Self-Assessment | Use SAP C_PAII10_35 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure |
SAP C_PAII10_35 Exam Topics :
| Section | Weight | Objectives |
|---|---|---|
| Introduction to Predictive Analytics | > 12% | Describe basic predictive modeling concepts, identify use cases for predictive algorithms, and outline the key capabilities of SAP Predictive Analytics.
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| Predictive Factory | > 12% | Describe the key features of SAP Predictive Factory, including, but not limited to: building time series models, using classification modeling, using regression modeling, creating and scheduling tasks, and using deviation analysis.
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| Classification Modeling with Modeler | > 12% | Build and apply classification models in Modeler, and implement deviation analysis.
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| Time Series with Modeler | 8% - 12% | Build, debrief and apply a time-series model in Modeler.
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| Clustering with Automated Analytics | 8% - 12% | Build, debrief and apply a clustering model in Modeler.
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| Data Science supporting Automated Analytics | 8% - 12% | Describe data partition strategies, data encoding, and interpretation of model curves.
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| Data Manager | < 8% | Outline how to manipulate data in the Data Manager and how to use it to create dynamic data sets.
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| Basics of Automated Analytics | < 8% | Identify different data types, storage and variable roles, as well as how to handle missing values and outliers.
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| Social and Recommendation | < 8% | Build a social recommendation and analysis.
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| Regression Modeling with Modeler | < 8% | Build, debrief, save and apply a regression model in Modeler.
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Updates in the SAP C_PAII10_35 Exam Topics:
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