最新的SAP Certified Application Associate - SAP Predictive Analytics - C_PAII10_35免費考試真題

A. Verify the Predictive Power Automated Analytics User Guides and Scenarios Modeler If the performance of the model meets your requirements, go to Step 3 - Analyzing and Understanding the Model Generated. Otherwise, go to the procedure To Generate a New Model.

B. A web server such as Apache Web Server or Windows Internet Information Services (IIS).

C. You can also check other indicators provided in addition to KI and KR during the model generation. For example, you could view the total elapsed time required to generate the model and information on the standard error rate.

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

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

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

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

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

A. The winning number of clustersc

B. The cluster frequencies

C. The cluster target means

D. The overall model Ki

A. The more time needed to generate the corresponding model,

B. The server pass phrase (optional)

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

D. The more time needed to apply the model to new datasets,

A. by building a new structure from scratch.

B. if the user running SAP Predictive Analy

C. by importing the structure from an existing model.

D. by first extracting the categories from the variable statistics,
then editing or validating the suggested structure.

A. Apply Model

B. Save Model

C. Load a Model

D. Generate Source Code

A. Communication between the Predictive Factory server and clients uses HTTP. You can configure encrypted communication (HTTPS) using Secure Sockets Layer (SSL) or Transport Layer Security (TLS)

B. You can verify the data via normal ABAP tools to see if succulent records are present. For example, by doing a data preview on the Predictive Scenario data source, taking into account any model version footer's, you can see how many records are returned.

C. 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.

D. If you have access to HANA logs, you will be able to see the full APL exception details and can investigate further.

A. Use an existing description file, that is, taken from your information system or saved from a previous use of Automated Analytics.

B. A web server such as Apache Web Server or Windows Internet
Information Services (IIS).

C. Or create a description file using the Analyze option. In this case, it is important that you validate the description file obtained. You can save this file for later re-use.