Name: SAP Certified Application Associate - SAP Predictive Analytics
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Free SAP C_PAII10_35 Exam Actual Questions

The questions for C_PAII10_35 were last updated On Apr 20, 2025

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Question No. 1

Once the model has been generated, you must verify its validity by examining the performance indicators:

Note: There are 2 correct answers to this question.

AThe predictive power allows you to evaluate the explanatory power of the model, that is, its capacity to explain the target variable when applied to the training dataset. A perfect model possesses a predictive power of 1 and a completely random model possesses a predictive power of 0. No minimum threshold is required for the predictive power of a model. This depends upon the context of your work, that is, your domain of application, the nature of your data and your business issue. 26 P U B L I C Automated Analytics User Guides and Scenarios Modeling Concepts In some cases, a model with a predictive power as low as 0.1 may allow realization of a profit of several thousands dollars. In all cases, a positive predictive power indicates that the model generated will perform better than a random model.

BThe prediction confidence defines the degree of robustness of the model, that is, its capacity to achieve the same explanatory power when applied to a new dataset. In other words, the degree of robustness corresponds to the predictive power of the model when applied to an application dataset. A model with a prediction confidence inferior to 0.95 must be considered with caution. The performance of such a model is very likely to vary between the training dataset and the application datasets.

CThe environment variable definition is using the POSIX standard shell sh semantic, which first defines the variable, then exports it. To guarantee a proper functioning, The environment variable definition is using the POSIX standard shell sh
semantic, which first defines the variable, then exports it. To guarantee a proper functioning,

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Correct Answer: A, B

Question No. 2

There are several interesting things to note about normal profit:

Note: There are 3 correct answers to this question.

AThe normal profit of category is independent of the target values themselves will
not change

BA 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.

CTo test the latest version of the application without impacting the current
production environment.

DThe weighted sum of the normal profit for all categories of a given variables will
always be 0.

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Correct Answer: A, B, D

Question No. 3

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.

Alisting active connections, with information such as user, last activity
time stamp, number of current models,

Blisting the state of models being within each connection,

CThe band count for continuous variables

DModeler - Data Encoding optimal grouping for all variables

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Correct Answer: C, D

Question No. 4

You are using the Automated Analytics text coder and you are also constructing the dictionary. You want to remove the stop words. What other processes are applied before the stop words are removed?

Note: There are 2 correct answers to this question.

AText splitting

BStemming reduction

CLanguage recognition

DSynonym replacement

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Correct Answer: A, C

Question No. 5

To describe your data, you can:

Note: There are 2 correct answers to this question.

AUse an existing description file, that is, taken from your information
system or saved from a previous use of Automated Analytics.

BA web server such as Apache Web Server or Windows Internet
Information Services (IIS).

COr create a description file using the Analyze option. In this case, it is
important that you validate the description file obtained. You can save
this file for later re-use.

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Correct Answer: A, C