최신 C-PAII10-35 무료덤프 - SAP Certified Application Associate - SAP Predictive Analytics

A. If the initial dataset does not contain a key variable, a variable index Kx Index is automatically generated by the application. This will correspond to the row number of the processed data.

B. the user who runs SAP Predictive Analytics is also the one used to install the software

C. If the file contains one or more key variables, they are not recognized automatically. You must specify them manually in the data description.

A. The overall model Ki

B. The cluster frequencies

C. The cluster target means

D. The winning number of clustersc

A. Select the node you want to move up or down.

B. Use the buttons and to change its position in the filter.

C. If you have already installed SAP Predictive Analytics on
your machine, uninstall it before installing SAP Predictive Analytics.

A. Error: ,QsuFLHQt Privilege For example: LnsucLent privilege: Not authorized This means that the PAi HANA role The solution is to consult your database administrator regarding role assignment.

B. 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.

C. Error: Invalid Table Message For example: invalid table name:
sap.hana.pai.Engine::Entities.GTMP.PredictiveScenario: line 1 col 72 an indication that the PAi application is not installed correctly. The solution is to reinstall the PAi DU.

D. In Predictive Factory, you declare one or more modeling servers. (A modeling server is the machine that hosts the Automated Analytics server that will run the modeling tasks). Predictive Factory communicates with the Automated Analytics server using CORBA. All connections to data and model sources are handled via the modeling server.

A. 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.

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

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

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. 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.

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

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

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

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

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

A. to check if your data have evolved over time and thus if the model need to be adapted to the new data.

B. to check the quality of new data after loading them,

C. to compare the distribution of a new dataset with the distribution of the dataset used to train the model,

D. The Root entries are used for tracing the activity of the server which can later be used for debugging purposes.