C_PAII10_35 by SAP Actual Free Exam Q&As

Question 1

Why Describe the Data Selected? In order for Automated Analytics
features to interpret and analyze your data, the data must be described.
To put it another way, the description file must specify the nature of
each variable, determining their:
Note: There are 2 correct answers to this question.

A. A Java Runtime Environment installed on the client machine to connect to the server B. Storage format: number C. A valid SAP Predictive Analytics License D. Type: continuous, nominal, ordinal or textual

Discussion 0

Correct Answer: B,D Vote an answer

Question 2

Two indicators specific to Automated Analytics allow you
to evaluate the performance of a model.
Note: There are 2 correct answers to this question.

A. The prediction confidence, which is the robustness indicator. B. Through Java Web Start: in this mode, a Web server needs to be installed and configured on the machine hosting the SAP Predictive Analytics server. It will deliver, through web pages, the necessary content in order for the client computer to run the app C. The predictive power, which is the quality indicator of the model, Automated Analytics User Guides and Scenarios Modeling Concepts P U B L I C 27

Discussion 0

Correct Answer: A,C Vote an answer

Question 3

The application allows you to refine a currently open model. For
instance, you can:
Note: There are 2 correct answers to this question.

A. Generate a model of degree 2 using the most significant variables of the degree 1 model. B. Reduce the number of explanatory variables used by the model while
maintaining the initial quality C. The server port (by default: 12347 for the authenticated server)

Discussion 0

Correct Answer: A,B Vote an answer

Question 4

To Display the Graphs for the Training, Validation, and
Testing Sub-sets Click Dataset and select one of the following
options that allow you to switch between:
Note: There are 2 correct answers to this question.

A. the graphs for all the sub-sets: B. The Name Server (usually port 12345). C. the graph for the Validation sub-set: D. The HTTP port (usually, 80).

Discussion 0

Correct Answer: A,C Vote an answer

Question 5

The term model carries many different meanings depending on its field of application. In data mining, a model describes and explains the relationships that exist between input data (one or more target variablest allows one to predict and explain phenomena, or to describe them. To quote George E.P. Box,
"All Models Are Wrong But Some Are Useful" from "Robustness is the Strategy of Scientific Model Building" in Robustness in Statistics. Eds., R.L. Launer and G.N. Wilkinson, 1979, Academic Press. A model that has satisfactory performance is one that possesses both:
Note: There are 2 correct answers to this question.

A. Both of these ports must be accessible from the client machine. For example, network firewalls should allow communication on these ports between client machine and the servers. B. High robustness, that is, sufficient capacity to repeat the same performance on new datasets containing observations of a similar nature to the training dataset. This explanatory power is indicated by the prediction confidence . C. High explanatory power, that is, sufficient capacity to explain the target variable. This explanatory power is indicated by the predictive power of the model.

Discussion 0

Correct Answer: B,C Vote an answer

Question 6

To Start SAP Predictive Analytics:
Note: There are 2 correct answers to this question.

A. Select Start Programs SAP Business Intelligence SAP
Predictive Analytics Desktop SAP Predictive Analytics . The
SAP Predictive Analytics start panel appears. B. Click the feature you want to use. C. Allow the group to write there. This is automatically done
when using the post installation configuration script.

Discussion 0

Correct Answer: A,B Vote an answer

Question 7

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,

Discussion 0

Correct Answer: A,B Vote an answer

Question 8

The Contributions by Variables plot allows you to examine the relative significance of each of the variables within the model. On this plot, each bar represents the contribution of an explanatory variable with respect to the target variable. The following four types of plots allow you to visualize contributions by variables:
Note: There are 4 correct answers to this question.

A. Variable Weights, that is, weights Guides and Scenarios Modeler P U B L I C 97 B. Smart Variable Contributions, that is, the variables internal contributions. Automated Analytics User Guides and Scenarios Modeler P U B L I C 97 C. Variable Contributions, that is, relative importance of each variable in the built model. D. Perform various analyses and build models on the data, including time series forecasting, outlier detection, trend analysis, classification analysis, segmentation analysis, and affinity analysis. E. Maximum Smart Variable Contributions, that is, the maximum smart variable contributions including only the maximum of similar variables. For example, only binned encoding of the continuous variable age will be displayed. This is the chart displayed by default.

Discussion 0

Correct Answer: A,B,C,E Vote an answer

SAP Certified Application Associate - SAP Predictive Analytics - C_PAII10_35 Exam Practice Test