SAP Certified Application Associate - SAP Predictive Analytics - C-PAII10-35 FREE EXAM DUMPS QUESTIONS & ANSWERS

A. The Automated Analytics toolset is available in the enterprise edition. With this configuration, you can install the following server-based components B. The enterprise edition is a three-tier client-server configuration with server authentication. C. The desktop edition is a two-tier standalone configuration Both the Automated Analytics and Expert Analytics toolsets are available in the desktop edition. D. If you have already installed SAP Predictive Analysis on your machine, you need to uninstall it before installing SAP Predictive Analytics.

A. The signal column B. The date column, C. The server port

A. Select the node you want to move up or down. B. Use the buttons and to change its position in the filter. C. If you have already installed SAP Predictive Analytics on
your machine, uninstall it before installing SAP Predictive Analytics.

A. The system account of the authenticated user, this is the default with the system authentication B. "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. C. "0" is a purely random model D. "0.79" is capable of explaining 79% of the information contained in the target variable using the explanatory variables contained in the dataset analyzed.

A. Use an existing description file, that is, taken from your information system or saved from a previous use of Automated Analytics. B. Or create a description file using the Analyze option. In this case, it is important that you validate the description file obtained. You can save this file for later re-use. C. A web server such as Apache Web Server or Windows Internet
Information Services (IIS).

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

A. A robustness indicator KR equal to 0.992. B. 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. C. A quality indicator KI equal to 0.808, D. The existing R is uninstalled and the registry entries and the R installation folder are removed from the machine. E. 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:

A. When the target is continuous, the predicted value or score on
the X axis In respect with the actual value or target value or
target (on the Y axis) B. A valid SAP Predictive Analytics License C. When the target is nominal, the realizable profit (on the Y axis ) as a function of the ratio o f the observations correctly selected as targets relative to the entire initial dataset (on the X axis)