Vendor: SAP
Exam Code: C_PAII10_35
Exam Name: C_PAII10_35 : SAP Certified Application Associate - SAP Predictive Analytics
Certification: SAP Certifications
Total Questions: 80 Q&A
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Updated on: Jun 17, 2026
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To generate a time series model, you must select a partition strategy to cut your training dataset into the three sub-sets: training, validation and testing. Since the order of the observations in the dataset is important for the modeling, only two types of partition strategies are available in time series:
Note: There are 2 correct answers to this question.
A. Sequential with Testing
B. Sequential without Testing
C. In the IIS Administrative Tools pane, click Internet Information Services (IIS) Manager.
Two indicators specific to Automated Analytics allow you to evaluate the performance of a model. Note: There are 2 correct answers to this question.
A. The predictive power, which is the quality indicator of the model, Automated Analytics User Guides and Scenarios Modeling Concepts P U B L I C 27
B. The prediction confidence, which is the robustness indicator.
C. Through Java Web Start: in this mode, a Web server needs to be installed and configured on the machine hosting the SAP Predictive Analytics server. It will deliver, through web pages, the necessary content in order for the client computer to run the app
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. 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.
C. 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.
D. Data Manager is used to facilitate the preparation of the data to be used in the analytics project.
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