C_PAII10_35 : SAP Certified Application Associate – SAP Predictive Analytics
- Level: Associate
- Exam: 80 questions
- Delivery Methods:SAP Certification intended for Exam Preparation (PDF Format)
Description
- This certification exam validates that this candidate possesses the fundamental and core knowledge required from the consultant profile. This certification proves that this candidate has an overall understanding and inâ€depth technical skills to participate as a member of a project team in a mentored role. This certification exam is recommended as an entry level qualification to allow consultants to get acquainted with the fundamentals of SAP Predictive Analytics including how the various capabilities of SAP Predictive Analytics offer insights into specific business predictive analytics difficulties.
Topic Areas
Please observe below the list of topics that may be covered within this certification and the courses that cover them. Its accuracy does not constitute a legitimate declare; SAP reserves the right to up-date the exam content (topics, items, weighting) anytime.
Introduction to Predictive Analytics> 12%
Describe basic predictive modeling concepts, identify use cases intended for predictive algorithms, and outline the key capabilities of SAP Predictive Analytics.
- PAII10 (SAP PREDICTIVE ANALYTICS )
– OR –
- Book: SAP Predictive Analytics
Predictive Manufacturing plant> 12%
Describe the key features of SAP Predictive Manufacturing plant, including, but not limited to: building time series models, using classification modeling, using regression modeling, creating and scheduling tasks, and using deviation analysis.
- PAII10 (SAP PREDICTIVE ANALYTICS )
– OR –
- Book: SAP Predictive Analytics
Classification Modeling with Modeler> 12%
Develop and apply classification models in Modeler, and implement deviation analysis.
- PAII10 (SAP PREDICTIVE ANALYTICS )
– OR –
- Book: SAP Predictive Analytics
Time Series with Modeler8% : 12%
Develop, debrief and apply a time-series model in Modeler.
- PAII10 (SAP PREDICTIVE ANALYTICS )
– OR –
- Book: SAP Predictive Analytics
Clustering with Automated Analytics8% : 12%
Develop, debrief and apply a clustering model in Modeler.
- PAII10 (SAP PREDICTIVE ANALYTICS )
– OR –
- Book: SAP Predictive Analytics
Data Science supporting Automated Analytics8% : 12%
Describe data partition strategies, data encoding, and meaning of model curves.
- PAII10 (SAP PREDICTIVE ANALYTICS )
– OR –
- Book: SAP Predictive Analytics
Data Manager< 8%
Outline how you can manipulate data in the Data Manager and how to use it to create dynamic data units.
- PAII10 (SAP PREDICTIVE ANALYTICS )
- Book: SAP Predictive Analytics
Basics of Automated Analytics< 8%
Identify various data types, storage and variable roles, as well as how to handle missing ideals and outliers.
- PAII10 (SAP PREDICTIVE ANALYTICS )
– OR –
- Book: SAP Predictive Analytics
Social and Recommendation< 8%
Build a social recommendation and analysis.
- PAII10 (SAP PREDICTIVE ANALYTICS )
– OR –
- Book: SAP Predictive Analytics
Regression Modeling with Modeler< 8%
Develop, debrief, save and apply a regression model in Modeler.
- PAII10 (SAP PREDICTIVE ANALYTICS )
- Book: SAP Predictive Analytics
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