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C_PAII10_35 Exam Certification Details:
| Sample Questions: | SAP C_PAII10_35 Exam Sample Question |
| Exam: | 80 questions |
| Languages: | English |
| Level: | Associate |
| Duration: | 180 mins |
| Cut Score: | 68% |
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.
SAP C_PAII10_35 Exam Overview:
| Certification Vendor: | SAP |
| Exam Name: | SAP Certified Application Associate - SAP Predictive Analytics |
| Exam Number: | C_PAII10_35 |
| Exam Duration: | 180 minutes |
| Available Languages: | English |
| Exam Format: | Multiple Choice, Scenario-based |
| Exam Price: | 599 USD |
| Certificate Validity Period: | Valid for two most recent solution releases |
| Real Exam Qty: | 80 |
| Passing Score: | 68% |
| Recommended Training: | PAII10 - SAP Predictive Analytics 3.3 |
| Exam Registration: | SAP Training & Certification Shop SAP Certification Hub |
| Sample Questions: | SAP C_PAII10_35 Sample Questions |
| Exam Way: | Computer-based testing at authorized centers or online via SAP Certification Hub |
| Pre Condition: | No formal prerequisites; basic knowledge of data analysis and SAP terminology recommended |
| Official Syllabus URL: | https://training.sap.com/certification/c_paii10_35-sap-certified-application-associate--sap-predictive-analytics-g/ |
SAP C_PAII10_35 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Clustering with Automated Analytics | 8%-12% | - Building clustering models - Model debriefing and validation - Applying clustering results |
| Introduction to Predictive Analytics | >12% | - Key capabilities of SAP Predictive Analytics - Basic predictive modeling concepts - Use cases for predictive algorithms |
| Predictive Factory | >12% | - Deviation analysis and monitoring - Creating and scheduling tasks - Key features and architecture |
| Data Manager | <8% | - Data import and connection - Data profiling and quality checks - Data transformation and preparation |
| Social and Recommendation Modeling | <8% | - Recommendation algorithms - Social network analysis basics |
| Data Science Supporting Automated Analytics | 8%-12% | - Data encoding and transformation - Model curves and interpretation - Data partition strategies |
| Basics of Automated Analytics | <8% | - Handling missing values and outliers - Data storage and preparation - Data types and variable roles |
| Classification Modeling with Modeler | 8%-12% | - Deployment and application - Model performance evaluation - Building classification models |
| Time Series Modeling with Modeler | 8%-12% | - Building and adjusting time series models - Forecasting and result analysis - Time series concepts |
| Regression Modeling with Modeler | 8%-12% | - Interpreting regression outputs - Building regression models - Model validation and use cases |
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