C_PAII10_35 Online Practice Questions and Answers

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

A. Select the model iteration.

B. Analyze variable deviations.

C. Simulate the model application.

D. Display variable correlations.

The selection of the degree of the polynomial depends on the nature of the data to be analyzed. The recommended method is to:

Note: There are 2 correct answers to this question.

A. First generate a model with a first order model. In the large majority of cases, this degree will be sufficient to guarantee a relevant and robust model.

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

C. A 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. Test the results thus obtained with models of greater degree, if the performance of the first order model seems inadequate

You can then generate models, capable of either explaining and predicting a phenomenon, or describing a dataset, in both cases, as a function of the previously defined target variable. This phase is called the training phase. Once the models have been generated, you can view and interpret their relevance and robustness using: Note: There are 2 correct answers to this question.

A. Performance indicators: the predictive power, which is the quality indicator, and the prediction confidence, which is the robustness indicator.

B. A variety of plots, including the profit curve plot.

C. knows how to set up ODBC drivers on Windows systems

D. has administration rights on the machine,

A polynomial may be of degree 1, 2, 3 or greater. By defining the polynomial degree, you are defining the degree of complexity of the model. Examples of Polynomials:

Note: There are 2 correct answers to this question.

A. A polynomial of degree 1 is of the form: f

B. The server private key

C. The server certificate

D. Xn A polynomial of degree 2 is of the form: f

To Start SAP Predictive Analytics:

Note: There are 2 correct answers to this question.

A. Select Start Programs SAP Business Intelligence SAP

B. Predictive Analytics Desktop SAP Predictive Analytics . The SAP Predictive Analytics start panel appears.

C. Click the feature you want to use.

D. Allow the group to write there. This is automatically done when using the post installation configuration script.

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

B. 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 .

C. 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.

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. 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.

B. 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.

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. 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.

In data mining, there are two types of models: Note: There are 2 correct answers to this question.

A. Predictive and explanatory models, which allow one to predict and explain phenomena

B. The SAP Predictive Analytics server must be able to access the name server.

C. The client application must be able to access both the name server and the SAP Predictive Analytics server.

D. Descriptive models, which allow one to describe datasets.