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Free SAP C_PAII10_35 Exam Questions

The operation of the Automated Analytics can be subdivided into four phases:

Note: There are 4 correct answers to this question.

  1. Data access
  2. Data manipulation and preparation
  3. Data modeling
  4. the Automated Analytics
  5. Model presentation and deployment

Answer(s): A,B,C,E



The selection of the degree of the polynomial depends on the nature of the data to be analyzed. The recommended method is to:

Note: There are 2 correct answers to this question.

  1. First generate a model with a first order model. In the large majority of cases, this degree will be sufficient to guarantee a relevant and robust model.
  2. The system account of the authenticated user, this is the default with the system authentication.
  3. A 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.
  4. Test the results thus obtained with models of greater degree, if the performance of the first order model seems inadequate

Answer(s): A,D



Using Regression/Classification, you have contacted the prospects most likely to be interested in your new financial product, and identified the ideal number of prospects to contact out of the entire database meeting the deadlines and within the budget you were allowed. To improve the rate of return of your campaign, senior management might ask you to:

Note: There are 3 correct answers to this question.

  1. Build a segmentation model of your customers.
  2. Analyze the characteristics of the identified clusters.
  3. The Name Server (usually port 12345).
  4. Define customized communications for each cluster.

Answer(s): A,B



The different types of variables: continuous, ordinal and nominal are next encoded by the data encoding feature of Modeler, or by the Event Logging and Sequence Coding features in the case of dynamic data.
Before generating the model, you must:

Note: There are 2 correct answers to this question.

  1. Describe the data. A utility integrated with the application allows you to generate a description of the dataset to be analyzed, automatically. You need only validate that description, verifying that the type and storage format of each variable were identified correctly.
  2. Define the role of variables contained in the dataset to be analyzed. You may select one or more variables as target variables. These are the variables that corresponds with your business issue. The other variables of the table of data are considered to be explanatory variables: they allow calculation of the value of the target variable in a given context. They may also be used as weight variables.
  3. Users are authenticated because clients must log in before being able to use the modeling server. User accounts can be configured to implement security policy.
  4. Resources are used more fully because each modeling session has a dedicated process. The process size limit applies only to a single user

Answer(s): A,B



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