C_PAII10_35 무료 덤프문제 온라인 액세스

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.The server private key
• B.A polynomial of degree 1 is of the form: f
• C.The server certificate
• D.Xn A polynomial of degree 2 is of the form: f

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.

The structure for a continuous variable is defined by
several intervals each made of :
Note: There are 4 correct answers to this question.

• A.With standalone installers on each targeted client system
• B.a maximum value (Minimum)
• C.a lower bound ([ ]) that can be either open or closed,
• D.a higher bound ([ ]) that can be either open or closed.
• E.a minimum value (Minimum)

Predictive Power, Prediction Confidence and Model Graphs On the model graph plot:
Note: There are 2 correct answers to this question.

• A.Of the training and validation datasets the training dataset and that of the validation dataset "divided by "the area found between the curve of the perfect model and that of the random model"
• B.Produce deep analysis of the data using different visualization
  techniques, such as scatter matrix charts, parallel coordinates, cluster charts, and decision trees.
• C.Of the validation dataset of the perfect model and that of the random model". As the curve of the generated model approaches the curve of the perfect model, the value of the predictive power approaches 1.

You work for an automobile manufacturer and wish to send a
promotional mailing to your prospects. Modeler
Regression/Classification allows you to:
Note: There are 2 correct answers to this question.

• A.Predict the response rate to such a mailing sent to new prospects.
• B.the user who runs SAP Predictive Analytics is also the one used to
  install the software
• C.Understand why previous prospects responded to such a mailing,