Exam Details

  • Exam Code
    :C_PAII10_35
  • Exam Name
    :C_PAII10_35 : SAP Certified Application Associate - SAP Predictive Analytics
  • Certification
    :SAP Certified Application Associate
  • Vendor
    :SAP
  • Total Questions
    :80 Q&As
  • Last Updated
    :

SAP SAP Certified Application Associate C_PAII10_35 Questions & Answers

  • Question 1:

    Understanding the Decision Tree Panel The panel Decision Tree is split into three parts: Note: There are 3 correct answers to this question.

    A. The decision tree itself, which is displayed in the upper section of the panel

    B. Two tabs located in the left bottom part of the panel provide you with information on the nodes and with the profit curve corresponding to the current decision tree

    C. A navigator allowing you to visualize what part of the tree you are studying is displayed in the right bottom part of the panel.\

    D. A consequence of 1 is that this metric is resistant to outliers: when there are a few occurrences of the target with very high values with respect to the rest of the target value distributions, the notion of normal profit is not impacted.

  • Question 2:

    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.

  • Question 3:

    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

  • Question 4:

    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.

  • Question 5:

    In the large majority of cases, a first degree polynomial is sufficient for generation of a relevant and robust model. Using a higher degree of polynomial does not always guarantee better results than those obtained with a first degree polynomial. In addition, the higher the degree of polynomial you select:

    Note: There are 3 correct answers to this question.

    A. The more time needed to generate the corresponding model

    B. The more time needed to apply the model to new datasets

    C. The harder it is to interpret the results of modeling

    D. The server pass phrase (optional)

  • Question 6:

    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

  • Question 7:

    A model may be represented in many different ways, including: Note: There are 3 correct answers to this question.

    A. a decision tree,

    B. a neural network,

    C. a Certification Authority certificate (CA certificate)

    D. a mathematical function.

  • Question 8:

    A user has created several analyses with a chain in the Predict room. What data can the user leverage in a visualization in the Visualize room when these analyses are executed successfully?

    Note: There are 1 correct answers to this question.

    A. Data from one component from one analysis

    B. Data from one component from all analyses

    C. Data from all components from all analyses

    D. Data from all components from one analysis

  • Question 9:

    On the model curve plot, different options allow you to visualize: Note: There are 2 correct answers to this question.

    A. Exact profit values for a point for all the displayed curves.

    B. The curves for the different profit types: Detected, Lift, Normalized, and Customized. For more information on profit types, see the related topic.

    C. A web server (Apache Web Server for example). See the sections below to install Apache Web Server

  • Question 10:

    To Define the Risk Mode Parameters:

    Note: There are 3 correct answers to this question.

    A. In the field Risk Score, enter the score you want to associate with a good/bad odds ratio.

    B. In the field for good/bad odds ratio of, enter the ratio.

    C. Indicate the increase of score points needed to double the odds in the field Points to double odds.

    D. Click the button View Score Table to display the table of scores associated with the corresponding good/bad odds ratio.

    E. The existing R is uninstalled and the registry entries and the R installation folder are removed from the machine

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