C_PAII10_35 Online Practice Questions and Answers

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.

In the Random Forest algorithm, each regressor and classifier is built on a bootstrapped sample. At each split, a random sample of m features is considered for splitting from a total of M features. What is the default setting for m?

Note: There are 1 correct answers to this question.

A. m = sqrt(M) for regression and M/3 for classification

B. m = M/3 for regression and M/3 for classification

C. m = sqrt(M) for regression and sqrt (M) for classification

D. m = M/3 for regression and sqrt (m) for classification

How can you refine your model in the Select Variables tool in Automated Analytics? Note: There are 2 correct answers to this question.

A. Select the model iteration.

B. Analyze variable deviations.

C. Simulate the model application.

D. Display variable correlations.

For formats are supported for the Date column: Note: There are 4 correct answers to this question.

A. datetime (ISO format: yyyy-mm-dd hh:mm )which has an hour-precision.

B. date (ISO format: yyyy-mm-dd) which has a day-precision.

C. Number(number, for example "seconds")

D. Java Runtime Environment installed on the client machine to connect to the server.

How are missing values handled in Automated Analytics? Note: There are 1 correct answers to this question.

A. They are automatically ignored.

B. They are assigned to a category.

C. They are automatically filled.

D. They are considered as outliers.

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

You are using the Automated Analytics text coder and you are also constructing the dictionary. You want to remove the stop words. What other processes are applied before the stop words are removed?

Note: There are 2 correct answers to this question.

A. Text splitting

B. Stemming reduction

C. Language recognition

D. Synonym replacement

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.

There are two ways to define a variable structure:

Note: There are 2 correct answers to this question.

A. by first extracting the categories from the variable statistics, then editing or validating the suggested structure.

B. by importing the structure from an existing model.

C. by building a new structure from scratch.

D. if the user running SAP Predictive Analy

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