Free C_PAII10_35 Questions for SAP Certified Application Associate - SAP Predictive Analytics C_PAII10_35 Exam as PDF & Practice Test Engine

Exam Code/Number: C_PAII10_35
Exam Name/Title: SAP Certified Application Associate - SAP Predictive Analytics
Certification Provider: SAP
Corresponding Certification: SAP Certified Application Associate

Exam Questions: 80
Updated On: Sep 26, 2026

Question #1

The Contributions by Variables plot allows you to examine the relative significance of each of the variables within the model. On this plot, each bar represents the contribution of an explanatory variable with respect to the target variable. The following four types of plots allow you to visualize contributions by variables:
Note: There are 4 correct answers to this question.

A. Variable Weights, that is, weights Guides and Scenarios Modeler P U B L I C 97

B. Perform various analyses and build models on the data, including time series forecasting, outlier detection, trend analysis, classification analysis, segmentation analysis, and affinity analysis.

C. Variable Contributions, that is, relative importance of each variable in the built model.

D. Maximum Smart Variable Contributions, that is, the maximum smart variable contributions including only the maximum of similar variables. For example, only binned encoding of the continuous variable age will be displayed. This is the chart displayed by default.

E. Smart Variable Contributions, that is, the variables internal contributions. Automated Analytics User Guides and Scenarios Modeler P U B L I C 97

Discussion 0

Correct Answer: A,C,D,E Vote an answer

Question #2

SAP Predictive Analytics can be deployed in the following configurations:
Note: There are 3 correct answers to this question.

A. The enterprise edition is a three-tier client-server configuration with server authentication.

B. The Automated Analytics toolset is available in the enterprise edition. With this configuration, you can install the following server-based components

C. If you have already installed SAP Predictive Analysis on your machine, you need to uninstall it before installing SAP Predictive Analytics.

D. The desktop edition is a two-tier standalone configuration Both the Automated Analytics and Expert Analytics toolsets are available in the desktop edition.

Discussion 0

Correct Answer: A,B,D Vote an answer

Question #3

How are missing values handled in Automated
Analytics?
Note: There are 1 correct answers to this question.

A. They are automatically filled.

B. They are automatically ignored.

C. They are assigned to a category.

D. They are considered as outliers.

Discussion 0

Correct Answer: C Vote an answer

Question #4

The term model carries many different meanings depending on its field of application. In data mining, a model describes and explains the relationships that exist between input data (one or more target variablest allows one to predict and explain phenomena, or to describe them. To quote George E.P. Box,
"All Models Are Wrong But Some Are Useful" from "Robustness is the Strategy of Scientific Model Building" in Robustness in Statistics. Eds., R.L. Launer and G.N. Wilkinson, 1979, Academic Press. A model that has satisfactory performance is one that possesses both:
Note: There are 2 correct answers to this question.

A. Both of these ports must be accessible from the client machine. For example, network firewalls should allow communication on these ports between client machine and the servers.

B. High explanatory power, that is, sufficient capacity to explain the target variable. This explanatory power is indicated by the predictive power of the model.

C. High robustness, that is, sufficient capacity to repeat the same performance on new datasets containing observations of a similar nature to the training dataset. This explanatory power is indicated by the prediction confidence .

Discussion 0

Correct Answer: B,C Vote an answer

Question #5

What is time Series?
Note: There are 2 correct answers to this question.

A. Forecast the evolution of time series in the short and medium term, that is, predict their future values.

B. Identify and understand the phenomenon represented by your time series.

C. 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.

Discussion 0

Correct Answer: A,B Vote an answer

Question #6

Understanding the Decision Tree Panel The panel Decision Tree is split into three parts:
Note: There are 3 correct answers to this question.

A. The decision tree itself, which is displayed in the upper section of the panel

B. A consequence of 1 is that this metric is resistant to outliers: when there are a few occurrences of the target with very high values with respect to the rest of the target value distributions, the notion of normal profit is not impacted.

C. Two tabs located in the left bottom part of the panel provide you with information on the nodes and with the profit curve corresponding to the current decision tree

D. A navigator allowing you to visualize what part of the tree you are studying is displayed in the right bottom part of the panel.\

Discussion 0

Correct Answer: A,C,D Vote an answer

Question #7

A model with a predictive power of:
Note: There are 3 correct answers to this question.

A. "1" is a hypothetical perfect model, capable of explaining 100% of the target variable using the explanatory variables contained in the dataset analyzed. In practice, such a predictive power would generally indicate that an explanatory variable 100% correlated with the target variable was notexcluded from the dataset analyzed.

B. "0.79" is capable of explaining 79% of the information contained in the target variable using the explanatory variables contained in the dataset analyzed.

C. "0" is a purely random model

D. The system account of the authenticated user, this is the default with the system authentication

Discussion 0

Correct Answer: A,B,C Vote an answer

Question #8

How can you refine your model in the Select
Variables tool in Automated Analytics?
Note: There are 2 correct answers to this question.

A. Display variable correlations.

B. Analyze variable deviations.

C. Simulate the model application.

D. Select the model iteration.

Discussion 0

Correct Answer: A,D Vote an answer

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