C_PAII10_35試験無料問題集「SAP Certified Application Associate - SAP Predictive Analytics 認定」

A. Your dataset must contain a target variable, that will allow you to express your business issue within the application.

B. Your data must be presented in the form of a single table of data , except in instances where you are using Event Logging or Sequence Coding features of Data Manager.

C. The target variable must be known for each observation of the training dataset. To express this another way, no target variable values may be missing over the range of the entire training dataset.

D. The data source format must be supported by the application.

E. Server instances are going to be started with a different system account than the authenticated server.

F. You must have a sufficiently large volume of data to be able to build a valid model, that is, in order for the model to be both relevant and robust. An analytical model that is generated from a dataset of 50 lines may have low generalization capacity, and contain low informative value. We can advise you on the issues of data volume.

A. Data understanding

B. Data preparation

C. Business understanding

D. Model building

A. Variable Weights, that is, weights Guides and Scenarios Modeler P U B L I C 97

B. Variable Contributions, that is, relative importance of each variable in the built model.

C. 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.

D. Smart Variable Contributions, that is, the variables internal contributions. Automated Analytics User Guides and Scenarios Modeler P U B L I C 97

E. Perform various analyses and build models on the data, including time series forecasting, outlier detection, trend analysis, classification analysis, segmentation analysis, and affinity analysis.

A. 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 application.

B. The target variable must be defined for each observation in the table. In the sample file Census01.csv , the variable "class" has been be defined for each individual.

C. The data must be represented in the form of a single table, except in instances where you are using the Event Logging or Sequence Coding features.

A. The Progress Bar displays the progression for each step of the process. It is the screen displayed by default.

B. 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

C. The Detailed Log displays the details of each step of the process.

D. 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.

A. Resources are used more fully because each modeling session has a dedicated process. The process size limit applies only to a single user.

B. 10,000 prospects. You want to know which product each customer is likely to purchase.

C. 1,500 of your customers. You know which product, A or B, each customer has purchased.

D. Network administration is simplified because all network traffic from the client is directed to the server. This means only two TCP ports need to be opened for an Automated Analytics installation.

A. listing active connections, with information such as user, last activity time stamp, number of current models,

B. listing the state of models being within each connection,

C. The band count for continuous variables

D. Modeler - Data Encoding optimal grouping for all variables