Exam Name: SAP Certified Application Associate - SAP Predictive Analytics
Certification Provider: SAP
Corresponding Certification: SAP Certified Application Associate
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SAP C-PAII10-35 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation and Validation | - Performance metrics - Model accuracy assessment |
| Topic 2: Introduction to SAP Predictive Analytics | - Overview of predictive analytics concepts - SAP Predictive Analytics architecture and components |
| Topic 3: Business Applications | - Use cases in finance, sales, and operations - Decision automation scenarios |
| Topic 4: Data Preparation | - Data cleansing and transformation - Data integration and connectivity |
| Topic 5: Model Building | - Supervised learning models - Time series forecasting - Unsupervised learning models |
| Topic 6: Deployment and Integration | - Deploying predictive models - Integration with SAP systems |
SAP Certified Application Associate - SAP Predictive Analytics Exam FAQ
The SAP Certified Application Associate - SAP Predictive Analytics blueprint divides into 6 domains — including Introduction to SAP Predictive Analytics, Data Preparation, Deployment and Integration. Those weights tell you where the points live; plan revision time in the same proportions. The full subtopic list appears above.
No formal prerequisites, but recommended experience in SAP analytics solutions and basic statistical knowledge. Eligibility rules change occasionally, so confirm them on the official page (official C-PAII10-35 exam page) before booking.
Yes — the free SAP Certified Application Associate - SAP Predictive Analytics demo at TestKingsIT shows real questions and answers before you pay. Every purchase includes 365 days of free updates, renewable later at 50% off.
Yes:
Classroom learning ends where self-testing begins — after any course, work through the 80 practice questions for the SAP Certified Application Associate - SAP Predictive Analytics to find weak spots before the exam does.
The SAP Certified Application Associate - SAP Predictive Analytics is SAP's official exam for the SAP Certified Application Associate - SAP Predictive Analytics credential (Associate level). In the job market it works as portable proof of skill — more interviews, better offers. It pairs naturally with SAP Certified Application Associate - SAP Analytics Cloud, SAP Certified Application Associate - SAP BW/4HANA.
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SAP Certified Application Associate - SAP Predictive Analytics Sample Questions:
To Start SAP Predictive Analytics:
Note: There are 2 correct answers to this question.
- A. Select Start Programs SAP Business Intelligence SAP
Predictive Analytics Desktop SAP Predictive Analytics . The
SAP Predictive Analytics start panel appears. - B. Allow the group to write there. This is automatically done
when using the post installation configuration script. - C. Click the feature you want to use.
Correct Answer: A,C 🗳️
If you let the structure as undefined, the application uses consistent
coder to automatically determine the categories grouping depending on their interaction with the target variable. You can configure two parameters in this case:
Note: There are 2 correct answers to this question.
- A. listing active connections, with information such as user, last activity time stamp, number of current models,
- B. Modeler - Data Encoding optimal grouping for all variables
- C. The band count for continuous variables
- D. listing the state of models being within each connection,
Correct Answer: B,C 🗳️
Detected profit is the default setting for type of profit. Using this type of profit:
Note: There are 2 correct answers to this question.
- A. The value "0" is assigned to observations that do not belong to the target category of the target variable,
- B. Modeler enables the analyst to create in a homogenous and easy-handling workflow models such as classification, regression, clustering, time series, and association rules. Models can be exported in different formats so that you can easily apply them in your production environment.
- C. Data Manager is used to facilitate the preparation of the data to be used in the analytics project.
- D. The value "1/(frequency of the target variable in the dataset) is assigned to observations that do belong to the target category of the target variable.
Correct Answer: A,D 🗳️
The selection of the degree of the polynomial depends on the nature of the data to be analyzed. The recommended method is to:
Note: There are 2 correct answers to this question.
- A. First generate a model with a first order model. In the large majority of cases, this degree will be sufficient to guarantee a relevant and robust model.
- B. Test the results thus obtained with models of greater degree, if the performance of the first order model seems inadequate
- C. A different system account, as specified in a "User-Mapping" file. This file will specify, for each authenticated user name the name of a system account to be used.
This feature is available only on Linux. - D. The system account of the authenticated user, this is the default with the system authentication.
Correct Answer: A,B 🗳️
The importance of a category depends on both its difference to the
target category mean and the number of represented cases. High importance can result from any of the following:
Note: There are 3 correct answers to this question.
- A. recise scheduling of main industrialization tasks
- B. A combination of both
- C. A high discrepancy between the category and the mean of the target category of the target variable
- D. A minor discrepancy combined with a large number of records in the category
Correct Answer: B,C,D 🗳️
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