C_PAII10_35 Online Practice Questions and Answers

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)

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 Display the Graphs for the Training, Validation, and Testing Sub-sets Click Dataset and select one of the following options that allow you to switch between:

Note: There are 2 correct answers to this question.

A. the graph for the Validation sub-set:

B. the graphs for all the sub-sets:

C. The HTTP port (usually, 80).

D. The Name Server (usually port 12345).

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. If you have already installed SAP Predictive Analysis on your machine, you need to uninstall it before installing SAP Predictive Analytics.

D. The Automated Analytics toolset is available in the enterprise edition. With this configuration, you can install the following server-based components

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

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

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.

If in the PAi Fiori application, a predictive model is shown in status error, more information about the cause may be found in the associated application log. If the PAi configuration is incorrect, which following messages may appear in the application log:

Note: There are 2 correct answers to this question.

A. Error: Invalid Table Message For example: invalid table name: sap.hana.pai.Engine::Entities.GTMP.PredictiveScenario: line 1 col 72 an indication that the PAi application is not installed correctly. The solution is to reinstall the PAi DU.

B. Error: ,QsuFLHQt Privilege For example: LnsucLent privilege: Not authorized This means that the PAi HANA role The solution is to consult your database administrator regarding role assignment.

C. In Predictive Factory, you declare one or more modeling servers. (A modeling server is the machine that hosts the Automated Analytics server that will run the modeling tasks). Predictive Factory communicates with the Automated Analytics server using CORBA. All connections to data and model sources are handled via the modeling server.

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.

In the large majority of cases, a first degree polynomial is sufficient for generation of a relevant and robust model. Using a higher degree of polynomial does not always guarantee better results than those obtained with a first degree polynomial. In addition, the higher the degree of polynomial you select:

Note: There are 3 correct answers to this question.

A. The more time needed to generate the corresponding model

B. The more time needed to apply the model to new datasets

C. The harder it is to interpret the results of modeling

D. The server pass phrase (optional)