You can change the order of the nodes to accelerate the filtering process by setting the conditions with the highest probability to be false at the top of the list.
Note: There are 2 correct answers to this question.
A. Select the node you want to move up or down.
B. Use the buttons and to change its position in the filter.
C. If you have already installed SAP Predictive Analytics on your machine, uninstall it before installing SAP Predictive Analytics.
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).
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)
The suite of plotting tools within the application allows you to analyze and understand the model generated:
Note: There are 3 correct answers to this question.
A. The performance of the model with respect to a hypothetical perfect model and a random type of model
B. The contribution of each of the explanatory variables with respect to the target variable
C. The significance of the various categories of each variable with respect to the target variable
D. A Java Runtime Environment installed on the client machine to connect to the server
A polynomial may be of degree 1, 2, 3 or greater. By defining the polynomial degree, you are defining the degree of complexity of the model. Examples of Polynomials:
Note: There are 2 correct answers to this question.
A. A polynomial of degree 1 is of the form: f
B. The server private key
C. The server certificate
D. Xn A polynomial of degree 2 is of the form: f
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)
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.
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
What type of join is generated when creating Analytical Data Set and Data Manipulation from the Data Manager?
Note: There are 1 correct answers to this question.
A. Inner join
B. Right outer join
C. Cross join (Cartesian product)
D. Left outer join
You can then generate models, capable of either explaining and predicting a phenomenon, or describing a dataset, in both cases, as a function of the previously defined target variable. This phase is called the training phase. Once the models have been generated, you can view and interpret their relevance and robustness using: Note: There are 2 correct answers to this question.
A. Performance indicators: the predictive power, which is the quality indicator, and the prediction confidence, which is the robustness indicator.
B. A variety of plots, including the profit curve plot.
C. knows how to set up ODBC drivers on Windows systems
D. has administration rights on the machine,
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