SAP C_PAII10_35 valid exam dumps : SAP Certified Application Associate - SAP Predictive Analytics

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. knows how to set up ODBC drivers on Windows systems
• B. Performance indicators: the predictive power, which is the quality indicator, and the prediction confidence, which is the robustness indicator.
• C. has administration rights on the machine,
• D. A variety of plots, including the profit curve plot.

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 "1/(frequency of the target variable in the dataset) is assigned to observations that do belong to the target category of the target variable.
• B. The value "0" is assigned to observations that do not 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 Periodic with testing at the end strategy distributes:
Note: There are 4 correct answers to this question.

• A. 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 distributed, distribution operations go to step
• B. One line of the first 4/5 of the initial dataset is distributed to the validation sub-set.
• C. Three lines of the first 4/5 of the initial dataset are distributed to the training subset.
• D. 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
• E. The final 1/5 of the initial dataset is sent as a block of data to the testing sub-set.

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 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.
• B. By selecting the percentage of positive observations you want to detect
• C. By selecting the percentage of population to target if the population is sorted by descending order of score
• D. It is recommended to install the application as a Windows service on a production environment.

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. A web server such as Apache Web Server or Windows Internet Information Services (IIS).
• C. Compare the predicted value to the actual value when the target is continuous .
• D. 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.