C_PAII10_35 Online Practice Questions and Answers

Once the models have been generated, model performance indicators, plots and modeling reports in HTML format facilitate viewing and interpretation of the data modeling results. Once the models have been validated, you can apply them to :

Note: There are 2 correct answers to this question.

A. One or more specific observations taken from your database

B. A new, complete dataset or application dataset

C. System authentication is to be used through Pluggable Authentication Module (PAM). Access to Linux System account password required root privileges.

Automated Analytics supports the following data sources:

Note: There are 2 correct answers to this question.

A. Text files supports CR + LF

B. 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.

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.

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 2 correct answers to this question.

A. Build a segmentation model of your customers,

B. Analyze the characteristics of the identified clusters,

C. The Name Server (usually port 12345).

D. Define customized communications for each cluster.

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. the source file (Source)

C. A web server (Apache Web Server for example). See the sections below to install Apache Web Server

D. the number of records contained in the dataset (Number of Records)

E. 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)

In Model Manager with default configuration, which access privileges provide the "server usage" statistics? Note: There are 2 correct answers to this question.

A. IT Administrator

B. Server Owner

C. Business Owner

D. IT Supervisor

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

A. Produce deep analysis of the data using different visualization techniques, such as scatter matrix charts, parallel coordinates, cluster charts, and decision trees.

B. 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.

C. 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"

There are several interesting things to note about normal profit: Note: There are 3 correct answers to this question.

A. The normal profit of category is independent of the target values themselves will not change

B. A consequence of 1 is that this metric is resistant to outliers: when there are a few

C. occurrences of the target with very high values with respect to the rest of the target value distributions, the notion of normal profit is not impacted.

D. To test the latest version of the application without impacting the current production environment.

E. The weighted sum of the normal profit for all categories of a given variables will always be 0.

To Validate the Model Generated :

Note: There are 2 correct answers to this question.

A. Verify the Predictive Power Automated Analytics User Guides and Scenarios Modeler If the performance of the model meets your requirements, go to Step 3 - Analyzing and Understanding the Model Generated. Otherwise, go to the procedure To Generate a New Model.

B. You can also check other indicators provided in addition to KI and KR during the model generation. For example, you could view the total elapsed time required to generate the model and information on the standard error rate.

C. A web server such as Apache Web Server or Windows Internet Information Services (IIS).

A model with a predictive power of:

Note: There are 3 correct answers to this question.

A. "0.79" is capable of explaining 79% of the information contained in the target variable using the explanatory variables contained in the dataset analyzed.

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. The system account of the authenticated user, this is the default with the system authentication

On the model curve plot, different options allow you to visualize: Note: There are 2 correct answers to this question.

A. Exact profit values for a point for all the displayed curves.

B. The curves for the different profit types: Detected, Lift, Normalized, and Customized. For more information on profit types, see the related topic.

C. A web server (Apache Web Server for example). See the sections below to install Apache Web Server