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| Certification Vendor: | SAP |
|---|---|
| Exam Name: | SAP Certified Application Associate - SAP Predictive Analytics |
| Exam Number: | C-PAII10-35 |
| Certificate Validity Period: | Typically 3 years (SAP certification validity policy) |
| Exam Price: | USD 500 (approx.) |
| Related Certifications: | SAP Certified Application Associate - SAP Analytics Cloud SAP Certified Application Associate - SAP BW/4HANA |
| Available Languages: | English |
| Exam Format: | Multiple choice, Multiple response |
| Exam Duration: | 180 minutes |
| Recommended Training: | SAP Learning Journey - SAP Predictive Analytics |
| Exam Registration: | SAP Certification Hub |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or authorized test center (SAP Certification Hub) |
| Pre Condition: | No formal prerequisites, but recommended experience in SAP analytics solutions and basic statistical knowledge. |
| Official Syllabus URL: | https://training.sap.com/certification/ |
| Section | Objectives |
|---|---|
| Deployment and Integration | - Deploying predictive models - Integration with SAP systems |
| Introduction to SAP Predictive Analytics | - Overview of predictive analytics concepts - SAP Predictive Analytics architecture and components |
| Model Evaluation and Validation | - Performance metrics - Model accuracy assessment |
| Data Preparation | - Data cleansing and transformation - Data integration and connectivity |
| Business Applications | - Decision automation scenarios - Use cases in finance, sales, and operations |
| Model Building | - Supervised learning models - Time series forecasting - Unsupervised learning models |
The package includes 80 practice questions for the C-PAII10-35 exam, all verified and arranged in a well-balanced mix of difficulty to support progressive study.
Let the topic weights guide how you split your study hours.
The SAP Certified Application Associate - SAP Predictive Analytics questions are spread across a well-proportioned range of difficulty, from fundamentals to challenging items. That distribution lets you build confidence session by session, and by the time the real test approaches, you have already faced everything it can reasonably throw at you.
No formal prerequisites, but recommended experience in SAP analytics solutions and basic statistical knowledge.
SAP Learning Journey - SAP Predictive Analytics: Visit official page
SAP Certification Hub: register for C-PAII10-35
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The Model Autosave panel allows you to activate the option that will automatically save the model at the end of the generation process and to set the parameters needed when saving the model. To activate the option, proceed as follows:
Note: There are 3 correct answers to this question.
Correct Answer: A,C,D 🗳️
A polynomial may be of degree 1, 2, 3 or greater. By
defining the polynomial degree, you are defining the degree of
complexity of the model. Examples of Polynomials:
Note: There are 2 correct answers to this question.
Correct Answer: B,C 🗳️
Three formats are supported for the Date column:
Note: There are 3 correct answers to this question.
Correct Answer: A,B,C,D 🗳️
Two indicators specific to Automated Analytics allow you
to evaluate the performance of a model.
Note: There are 2 correct answers to this question.
Correct Answer: A,B,C 🗳️
The variable "product purchased" is your target variable:
it corresponds to your business issue. It is:
Note: There are 2 correct answers to this question.
Correct Answer: B,C 🗳️
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