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.

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

If you let the structure as undefined, the application uses consistent coder to automatically determine the categories grouping depending on their interaction with the target variable. You can configure two parameters in this case:

Note: There are 2 correct answers to this question.

A. listing active connections, with information such as user, last activity time stamp, number of current models,

B. listing the state of models being within each connection,

C. The band count for continuous variables

D. Modeler - Data Encoding optimal grouping for all variables

To Select a Profit Type ;

Note: There are 2 correct answers to this question.

A. Select a profit type. The corresponding profit curves appear.

B. The server port (by default: 12347 for the authenticated server).

C. On the screen Model Curves, beneath the plot, click the dropdown list associated with the Profit field. The list of profit types appears.

Note: There are 4 correct answers to this question.

A. the apply-in dataset (able, view, select statement, data manipulation) and the results dataset are tables coming from the same database

B. the model has been computed while at least one physical key variable was defined in the application

C. no error has occurred

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

E. the in-database apply mode is not deactivated

F. granted access to read and write (create table)

The application allows you to refine a currently open model. For instance, you can: Note: There are 2 correct answers to this question.

A. Reduce the number of explanatory variables used by the model while maintaining the initial quality

B. Generate a model of degree 2 using the most significant variables of the degree 1 model.

C. The server port (by default: 12347 for the authenticated server)

Once the PAi application is installed correctly, the most common expected error to be encountered is that the system does not have succulent rows of data to successfully build a predictive model. For the PAi application to work correctly, you need a minimum number of rows of data to train your predictive model. The number of required rows will vary from scenario to scenario and is dependent on the model type and the data.

There are two main ways to handle this issue:

Note: There are 2 correct answers to this question.

A. If you have access to HANA logs, you will be able to see the full APL exception details and can investigate further.

B. The Predictive Factory server contains a group of services handled by the Server Intelligence Agent (SIA). The services can be stopped and started with the Start and Stop Predictive Factory commands.

C. You can verify the data via normal ABAP tools to see if succulent records are present. For example, by doing a data preview on the Predictive Scenario data source, taking into account any model version footer's, you can see how many records are returned.

D. Communication between the Predictive Factory server and clients uses HTTP. You can configure encrypted communication (HTTPS) using Secure Sockets Layer (SSL) or Transport Layer Security (TLS)

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.

A table of data is a dataset presented in the form of a two-dimensional table. In this table: Note: There are 3 correct answers to this question.

A. Each row represents an observation to be processed, such as "American individual" in the sample file Census01.csv .

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. 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.

The Periodic with testing at the end strategy distributes:

Note: There are 4 correct answers to this question.

A. Three lines of the first 4/5 of the initial dataset are distributed to the training subset.

B. One line of the first 4/5 of the initial dataset is distributed to the validation sub-set.

C. If the entire 4/5 of the initial dataset is not yet distributed, distribution operations begin again at step 1. Otherwise, if the entire 4/5 of the initial dataset has been

D. distributed, distribution operations go to step

E. The final 1/5 of the initial dataset is sent as a block of data to the testing sub-set.

F. The name server and the server will be assigned a specific TCP port. By default, the startup scripts we use fix them, and they should probably set properly depending on the network strategy

Detected profit is the default setting for type of profit. Using this type of profit: Note: There are 2 correct answers to this question.

A. The value "0" is assigned to observations that do not belong to the target category of the target variable,

B. The value "1/(frequency of the target variable in the dataset) is assigned to observations that do belong to the target category of the target variable.

C. Modeler enables the analyst to create in a homogenous and easy-handling workflow models such as classification, regression, clustering, time series, and association rules. Models can be exported in different formats so that you can easily apply them in your production environment.

D. Data Manager is used to facilitate the preparation of the data to be used in the analytics project.

The importance of a category depends on both its difference to the target category mean and the number of represented cases. High importance can result from any of the following:

Note: There are 3 correct answers to this question.

A. A high discrepancy between the category and the mean of the target category of the target variable

B. A minor discrepancy combined with a large number of records in the category

C. A combination of both

D. recise scheduling of main industrialization tasks

There are two ways to define a variable structure:

Note: There are 2 correct answers to this question.

A. by first extracting the categories from the variable statistics, then editing or validating the suggested structure.

B. by importing the structure from an existing model.

C. by building a new structure from scratch.

D. if the user running SAP Predictive Analy

A model may be represented in many different ways, including: Note: There are 3 correct answers to this question.

A. a decision tree,

B. a neural network,

C. a Certification Authority certificate (CA certificate)

D. a mathematical function.

Depending upon your profile and your area of expertise, you may be more familiar with one of the following terms to refer to target variables: Note: There are 3 correct answers to this question.

A. Variables to be explained,

B. Dependent variables,

C. Output variables.

D. User activity monitoring and logging is possible and activated by default.