C-PAII10-35 by SAP Actual Free Exam Q&As

Question 1

Automated Analytics supports the following data sources:
Note: There are 2 correct answers to this question.

A. Database management systems that can be accessed using ODBC. Note For the list of supported ODBC-compatible sources, see the SAP Product Availability Matrix
http://service.sap.com/sap/support/pam
. For more information about using SAP HANA, see the related information below. To configure Automated Analytics modeling tools to access data in your database management system, refer to the guide Connecting your Database Management System on Windows or Connecting your Database Management System on Linux. B. Text files supports CR + LF C. The server software requires about 700 MB for the server and about 200 MB for each client installed on separate machines. No additional storage is required for data because the application does not create a separate data store.

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Correct Answer: A,B Vote an answer

Question 2

Once the model has been generated, you must verify its validity by examining the performance indicators:
Note: There are 4 correct answers to this question.

A. The 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 would possess a predictive power equal to 1 and a completely random model would possess a predictive power equal to 0. B. The existing R is uninstalled and the registry entries and the R installation folder are removed from the machine. C. A quality indicator KI equal to 0.808, D. The 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 applied to an application dataset. For this scenario, the model generated has the following performance indicators: E. A robustness indicator KR equal to 0.992.

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

Question 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.

A. The 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. B. The 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. C. 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, 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 Vote an answer

Question 4

Depending upon your profile and your area of expertise,
you may be more familiar with one of the following terms to
refer to target variables:
Note: There are 3 correct answers to this question.

A. Variables to be explained, B. Dependent variables, C. Output variables. D. User activity monitoring and logging is possible and activated by default.

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Correct Answer: A,B,C Vote an answer

Question 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.

A. Network 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. B. Error: 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. C. In 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. D. Error: ,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.

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Correct Answer: B,D Vote an answer

Question 6

Obtaining a better model is achieved by:
Note: There are 3 correct answers to this question.

A. Improving both the predictive power and he prediction
confidence of the model. B. System authentication is to be used through Pluggable
Authentication Module (PAM). Access to Linux System
account password required root privileges. C. Improving the prediction confidence of the model, or D. Improving the predictive power of the model, or

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Correct Answer: C,D Vote an answer

Question 7

To Select a Profit Type ;
Note: There are 2 correct answers to this question.

A. The server port (by default: 12347 for the authenticated server). B. On the screen Model Curves, beneath the plot, click the dropdown list associated with the Profit field.
The list of profit types appears. C. Select a profit type. The corresponding profit curves appear.

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Correct Answer: B,C Vote an answer

Question 8

A variable corresponds to an attribute which describes the observations stored in your database. For example, in a database containing information about your customers, the "name" and "address" of those customers are examples of variables. In Automated Analytics, a variable is defined by three aspects:
Note: There are 2 correct answers to this question.

A. The type of variable: Continuous Variables whose values are numerical, continuous, and sortable. They can be used to calculate measures are sortable. Nominal Variables with discrete values that are not sortable. Textual A type of nominal variable containing phrases, sentences or complete texts. Textual variables are used for text analyses. B. With standalone installers on each targeted client system. C. The role of the variable: Target, Explanatory, or Weight D. The storage format of the variable

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Correct Answer: A,D Vote an answer

SAP Certified Application Associate - SAP Predictive Analytics - C-PAII10-35 Exam Practice Test