C_PAII10_35 Online Practice Questions and Answers

The selection of the degree of the polynomial depends on the nature of the data to be analyzed. The recommended method is to:

Note: There are 2 correct answers to this question.

A. First generate a model with a first order model. In the large majority of cases, this degree will be sufficient to guarantee a relevant and robust model.

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

C. A 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. Test the results thus obtained with models of greater degree, if the performance of the first order model seems inadequate

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

Obtaining a better model is achieved by:

Note: There are 3 correct answers to this question.

A. Improving the prediction confidence of the model

B. Improving the predictive power of the model

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

D. Improving both the predictive power and he prediction confidence of the model.

For data and performance management purposes, the dataset to be analyzed must contain a variable that serves as a key variable. Two cases should be considered:

Note: There are 2 correct answers to this question.

A. If the initial dataset does not contain a key variable, a variable index Kx Index is automatically generated by the application. This will correspond to the row number of the processed data.

B. If the file contains one or more key variables, they are not recognized automatically. You must specify them manually in the data description.

C. the user who runs SAP Predictive Analytics is also the one used to install the software

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

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.

Two indicators specific to Automated Analytics allow you to evaluate the performance of a model. Note: There are 2 correct answers to this question.

A. The predictive power, which is the quality indicator of the model, Automated Analytics User Guides and Scenarios Modeling Concepts P U B L I C 27

B. The prediction confidence, which is the robustness indicator.

C. 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 app

Depending on the type of the target, the model graph plot allows you to:

Note: There are 3 correct answers to this question.

A. View the realizable profit that pertains to your business issue using the model generated when the target is nominal.

B. Compare the performance of the model generated with that of a random type model and that of a hypothetical perfect model when the target is nominal.

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

D. Compare the predicted value to the actual value when the target is continuous .

Operation of Automated Analytic:

Note: There are 3 correct answers to this question.

A. Automated Analytics allows you to perform supervised data mining, that is, to transform your data into knowledge, then into action, as a function of a domain-specific business issue.

B. The application supports various formats of source data order to be usable by the application features, the dataset to be analyzed must be presented in the form of a single table of data, except in instances where you are using the Event Logging or Sequence Coding features of Data Manager.

C. To use the application's features, you must have a training dataset available that contains the target variable with all its values defined. Then, you can apply the model generated using the training dataset to one or more application datasets.

D. 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