C_PAII10_35 Exam Certification Details:
| Cut Score: | 68% |
| Languages: | English |
| Sample Questions: | SAP C_PAII10_35 Exam Sample Question |
| Exam: | 80 questions |
| Level: | Associate |
| Duration: | 180 mins |
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SAP C_PAII10_35 Exam Description:
This certification exam validates that the candidate possesses the fundamental and core knowledge required of the consultant profile. This certification proves that the candidate has an overall understanding and in‐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 provide insights into specific business predictive analytics challenges.
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SAP C_PAII10_35 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Manager | <8% | - Scheduling and task management - Data manipulation and dataset creation |
| Social and Recommendation | <8% | - Recommendation model usage - Social data analysis concepts |
| Data Science Supporting Automated Analytics | 8% - 12% | - Role of data science in predictive analytics - Data pre-processing |
| Introduction to Predictive Analytics | 12% | - Fundamental predictive analytics concepts - Key features of SAP Predictive Analytics |
| Time Series with Modeler | 8% - 12% | - Forecast analysis - Time series model creation |
| Clustering with Automated Analytics | 8% - 12% | - Analyzing cluster results - Clustering techniques and application |
| Regression Modeling with Modeler | <8% | - Validation and application of regression models - Regression model development |
| Predictive Factory | 12% | - Predictive Factory architecture and components - Model deployment and management |
| Basics of Automated Analytics | <8% | - Automated analytics core capabilities - Operational workflows |
| Classification Modeling with Modeler | 12% | - Classification model building - Model evaluation and application |
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