C_PAII10_35 - SAP Certified Application Associate – SAP Predictive Analytics
C_PAII10_35 - SAP Certified Application Associate – SAP Predictive Analytics
C_PAII10_35 - SAP Certified Application Associate – SAP Predictive Analytics
C_PAII10_35 exam validates that the candidate have the fundamental and core knowledge required of the consultant profile. This certification exam 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.
Who should take the exam?
This is recommended for consultants having entry level qualification with having familiarity with the fundamentals of SAP Predictive Analytics including how the various capabilities of SAP Predictive Analytics provide insights into specific business predictive analytics challenges.
Course Structure
The topics covered in this exam include:
- Introduction to Predictive Analytics > 12%
- Predictive Factory > 12%
- Classification Modeling with Modeler > 12%
- Time Series with Modeler 8% - 12%
- Clustering with Automated Analytics 8% - 12%
- Data Science supporting Automated Analytics 8% - 12%
- Data Manager < 8%
- Basics of Automated Analytics < 8%
- Social and Recommendation < 8%
- Regression Modeling with Modeler< 8%
Exam Format and Information
Exam Name SAP Certified Application Associate – SAP Predictive Analytics | Exam Code C_PAII10_35 |
Exam Duration 180 mins | Exam Format Multiple Choice |
Exam type 0 | Number of Questions 80 Questions |
Eligibility/Prerequisite 0 | Exam Status Live |
Exam Language English | Pass Score 68% and above |
C_PAII10_35 - SAP Certified Application Associate – SAP Predictive Analytics FAQs
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Yes, we provide SAP C_PAII10_35 exam online tutorial. This covers all the major exam details, topics/concepts and study resources with appropriate reference links for clearing doubts.
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How to prepare for SAP C_PAII10_35 exam?
For better preparation, develop a study plan using the exam study guide. Then, focus on getting understanding in the major topics like
- Predictive Factory
- Classification modeling with the modeler
- Time series with the modeler
- Introduction to predictive analysis
- Clustering with automated analytics
- Data science supporting automated analysis
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What is the basic course structure for the C_PAII10_35 exam?
The topics covered in this exam include:
- Introduction to Predictive Analytics > 12%
- Predictive Factory > 12%
- Classification Modeling with Modeler > 12%
- Time Series with Modeler 8% - 12%
- Clustering with Automated Analytics 8% - 12%
- Data Science supporting Automated Analytics 8% - 12%
- Data Manager < 8%
- Basics of Automated Analytics < 8%
- Social and Recommendation < 8%
- Regression Modeling with Modeler< 8%
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