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.
To help you validate the description when using the Analyze option, you can display the first hundred lines of your dataset.
Note: There are 4 correct answers to this question.
A. Click the button View Data. A new window opens displaying the dataset top lines.
B. In the field First Row Index, enter the number of the first row you want to display.
C. In the field Last Row Index, enter the number of the last row you want to display.
D. Click the Refresh button to see the selected rows.
E. Set this group as the group owner of the tmp directory. This should be done if the application has been set up with a user account that has this group set as its primary group
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,
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)
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
Once the modeling parameters are defined, you can generate the model. Then you must validate its performance using the predictive power.
Note: There are 2 correct answers to this question.
A. If the model is sufficiently powerful, you can analyze the responses that it provides in relation to your business issue apply it to new datasets
B. Otherwise, you can modify the modeling parameters in such a way that they are better suited to your dataset and your business issue, and then generate new, more powerful models.
C. The Progress Bar displays the progression for each step of the process. It is the screen displayed by default.
D. The Detailed Log displays the details of each step of the process.
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.
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.
There are three ways to set the threshold using the displayed slide bar: Note: There are 3 correct answers to this question.
A. By selecting the percentage of population to target if the population is sorted by descending order of score
B. By selecting the percentage of positive observations you want to detect
C. By selecting the score used to differentiate positive observations from negative ones considered positive, on the contrary any observation with a score below the threshold is considered negative.
D. It is recommended to install the application as a Windows service on a production environment.
On the plot, for each type of model, the curves represent: Note: There are 2 correct answers to this question.
A. When the target is nominal, the realizable profit (on the Y axis ) as a function of the ratio o f the observations correctly selected as targets relative to the entire initial dataset (on the X axis)
B. When the target is continuous, the predicted value or score on the X axis In respect with the actual value or target value or target (on the Y axis)
C. A valid SAP Predictive Analytics License