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

A. 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. B. Text files supports CR + LF C. 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.

A. The prediction confidence, which is the robustness indicator. B. The predictive power, which is the quality indicator of the model, Automated Analytics User Guides and Scenarios Modeling Concepts P U B L I C 27 C. Through Java Web Start: in this mode, a Web server needs to be installed and configured on the machine hosting the SAP Predictive Analytics server. It will deliver, through web pages, the necessary content in order for the client computer to run the app

A. By selecting the percentage of population to target if the population is sorted by descending order of score B. By selecting the percentage of positive observations you want to detect C. It is recommended to install the application as a Windows service on a production environment. D. By 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.

A. 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. B. Each column represents a variable that describes observations, such as the "age" or the "gender" of individual Americans. C. Each cell, the intersection of a column and a row, represents the value of the variable in the column, for the observation in that row D. Each row represents an observation to be processed, such as "American individual" in the sample file Census01.csv .

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

A. The system account of the authenticated user, this is the default with the system authentication B. "0.79" is capable of explaining 79% of the information contained in the target variable using the explanatory variables contained in the dataset analyzed. C. "1" is a hypothetical perfect model, capable of explaining 100% of the target variable using the explanatory variables contained in the dataset analyzed. In practice, such a predictive power would generally indicate that an explanatory variable 100% correlated with the target variable was notexcluded from the dataset analyzed. D. "0" is a purely random model

A. The server port B. Saving the screen content, C. Copying the screen content, D. Displaying the contextual Help. E. Printing the screen,

A. Set the parameters listed in the following table. B. Be granted the SELECT SQL Privileges. C. Check Enable Model Autosave. D. In the Summary of Modeling Parameters panel, click the Autosave
button. The Model Autosave panel is displayed.