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 Dec 18, 2025

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Question No. 1

Your company is marketing two products A and B. You have a database which

contains references to:

Note: There are 2 correct answers to this question.

A1,500 of your customers. You know which product, A or B, each customer has
purchased.

B10,000 prospects. You want to know which product each customer is likely to
purchase.

CResources are used more fully because each modeling session has a dedicated
process. The process size limit applies only to a single user.

DNetwork administration is simplified because all network traffic from the client is
directed to the server. This means only two TCP ports need to be opened for an
Automated Analytics installation.

Show Answer

Correct Answer: A, B

Question No. 2

You developed an unsupervised segmentation

model in Automated Analytics. What should you

analyze when debriefing the model?

Note: There are 1 correct answers to this question.

AThe cluster target means

BThe overall model Ki

CThe cluster frequencies

DThe winning number of clustersc

Show Answer

Correct Answer: C

Question No. 3

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,

Show Answer

Correct Answer: A, B

Question No. 4

There are three ways to set the threshold using the displayed slide bar:

Note: There are 3 correct answers to this question.

ABy selecting the percentage of population to target if the population is sorted by
descending order of score

BBy selecting the percentage of positive observations you want to detect

CBy selecting the score used to differentiate positive observations from negative
ones considered positive, on the contrary any observation with a score below the
threshold is considered negative.

DIt is recommended to install the application as a Windows service on a production
environment.

Show Answer

Correct Answer: A, B, C

Question No. 5

If in the PAi Fiori application, a predictive model is shown in status error, more information

about the cause may be found in the associated application log. If the PAi configuration is incorrect, which following messages may appear in the application log:

Note: There are 2 correct answers to this question.

AError: Invalid Table Message For example: invalid table name:
sap.hana.pai.Engine::Entities.GTMP.PredictiveScenario: line 1 col 72 an indication that the PAi application is not installed correctly. The solution is to reinstall the PAi DU.

BError: ,QsuFLHQt Privilege For example: LnsucLent privilege: Not authorized This means that the PAi HANA role The solution is to consult your database administrator regarding role assignment.

CIn Predictive Factory, you declare one or more modeling servers. (A modeling server is the machine that hosts the Automated Analytics server that will run the modeling tasks). Predictive Factory communicates with the Automated Analytics server using CORBA. All connections to data and model sources are handled via the modeling server.

DNetwork administration is simplified because all network traffic from the client is directed to the server. This means only two TCP ports need to be opened for an Automated Analytics installation.

Show Answer

Correct Answer: A, B