C_PAII10_35 Online Practice Questions and Answers

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. 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.

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 different types of variables: continuous, ordinal and nominal are next encoded by the data encoding feature of Modeler, or by the Event Logging and Sequence Coding features in the case of dynamic data. Before generating the model, you must:

Note: There are 2 correct answers to this question.

A. Describe the data. A utility integrated with the application allows you to generate a description of the dataset to be analyzed, automatically. You need only validate that description, verifying that the type and storage format of each variable were identified correctly.

B. Define the role of variables contained in the dataset to be analyzed. You may select one or more variables as target variables. These are the variables that corresponds with your business issue. The other variables of the table of data are considered to be explanatory variables: they allow calculation of the value of the target variable in a given context. They may also be used as weight variables.

C. Users are authenticated because clients must log in before being able to use the modeling server. User accounts can be configured to implement security policy.

D. Resources are used more fully because each modeling session has a dedicated process. The process size limit applies only to a single user

A variable corresponds to an attribute which describes the observations stored in your database. For example, in a database containing information about your customers, the "name" and "address" of those customers are examples of variables. In Automated Analytics, a variable is defined by three aspects:

Note: There are 2 correct answers to this question.

A. The type of variable: Continuous Variables whose values are numerical, continuous, and sortable. They can be used to calculate measures are sortable. Nominal Variables

B. with discrete values that are not sortable. Textual A type of nominal variable containing phrases, sentences or complete texts. Textual variables are used for text analyses.

C. The storage format of the variable

D. The role of the variable: Target, Explanatory, or Weight

E. With standalone installers on each targeted client system.

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)

Your company is marketing two products A and B. You have a database which contains references to: Note: There are 2 correct answers to this question.

A. 1,500 of your customers. You know which product, A or B, each customer has purchased.

B. 10,000 prospects. You want to know which product each customer is likely to purchase.

C. Resources are used more fully because each modeling session has a dedicated process. The process size limit applies only to a single user.

D. Network administration is simplified because all network traffic from the client is directed to the server. This means only two TCP ports need to be opened for an Automated Analytics installation.

To Start SAP Predictive Analytics:

Note: There are 2 correct answers to this question.

A. Select Start Programs SAP Business Intelligence SAP

B. Predictive Analytics Desktop SAP Predictive Analytics . The SAP Predictive Analytics start panel appears.

C. Click the feature you want to use.

D. Allow the group to write there. This is automatically done when using the post installation configuration script.

The Decision Tree Each node in the tree displays: Note: There are 4 correct answers to this question.

A. The name of the expanded variable, for example Marital-status.

B. The categories on which the node population has been filtered, for example {Married-AFspouse;Nevermarried}

C. The Population of the node

D. The ratio of Positive Target (for nominal targets) or the Target Mean (for continuous targets)

E. The Usage entries are sparser and report a more global view of the activity on the server. They consist of one line per event on the following events: user connection, user disconnection, training a model, applying a model, saving a model.

What is time Series?

Note: There are 2 correct answers to this question.

A. Identify and understand the phenomenon represented by your time series.

B. Forecast the evolution of time series in the short and medium term, that is, predict their future values.

C. Different system account, as specified in a "User-Mapping" file. This file will specify, for each authenticated user name the name of a system account to be used. This feature is available only on Linux

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

A user has created several analyses with a chain in the Predict room. What data can the user leverage in a visualization in the Visualize room when these analyses are executed successfully?

Note: There are 1 correct answers to this question.

A. Data from one component from one analysis

B. Data from one component from all analyses

C. Data from all components from all analyses

D. Data from all components from one analysis