C_PAII10_35 試験問題を無料オンラインアクセス

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.The role of the variable: Target, Explanatory, or Weight
• C.With standalone installers on each targeted client system.
• D.The storage format of the variable

Note: There are 5 correct answers to this question.

• A.the in-database apply mode is not deactivated,
• B.granted access to read and write (create table)
• C.A web server such as Apache Web Server or Windows Internet Information Services (IIS).
• D.the apply-in dataset (able, view, select statement, data manipulation) and the results dataset are tables coming from the same database,
• E.the model has been computed while at least one physical key variable was defined in the application,
• F.no error has occurred,

Using Regression/Classification, you have contacted the prospects most likely to be interested in your new financial product, and identified the ideal number of prospects to contact out of the entire database meeting the deadlines and within the budget you were allowed. To improve the rate of return of your campaign, senior management might ask you to:
Note: There are 3 correct answers to this question.

• A.Build a segmentation model of your customers,
• B.Define customized communications for each cluster.
• C.The Name Server (usually port 12345).
• D.Analyze the characteristics of the identified clusters,

The section Control for Deviation Overview provides you with basic statistics on the Dataset used for Deviation Control Note: There are 4 correct answers to this question.

• A.the name of the dataset (Dataset)
• B.and the number of variables for which the application has found deviations in comparison to the dataset originally used to train the model (Number of variables showing deviation)
• C.A web server (Apache Web Server for example). See the sections below to install Apache Web Server
• D.the source file (Source)
• E.the number of records contained in the dataset (Number of Records)

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.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.
• C.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.
• 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.