Free SAP C-PAII10-35 Exam Dumps Questions & Answers

Whatever the data source used, the following two constraints must be
accommodated:
Note: There are 2 correct answers to this question.

• A.  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 application.
• B.  The data must be represented in the form of a single table, except in instances where you are using the Event Logging or Sequence Coding features.
• C.  The target variable must be defined for each observation in the table. In the sample file Census01.csv , the variable "class" has been be defined for each individual.

SAP Predictive Analytics can be deployed in the following configurations:
Note: There are 3 correct answers to this question.

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

The option Analyze Deviations is a tool that provides you with a diagnostic of the data statistical variation. This option can be used for several purposes:
Note: There are 3 correct answers to this question.

• A.  to check if your data have evolved over time and thus if the model need to be adapted to the new data.
• B.  to compare the distribution of a new dataset with the distribution of the dataset used to train the model,
• C.  The Root entries are used for tracing the activity of the server which can later be used for debugging purposes.
• D.  to check the quality of new data after loading them,

There are three ways to set the threshold using the displayed slide bar:
Note: There are 3 correct answers to this question.

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

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