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

A. 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.

B. 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.

C. 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.

D. 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.

A. m = M/3 for regression and sqrt (m) for classification

B. m = M/3 for regression and M/3 for classification

C. m = sqrt(M) for regression and M/3 for classification

D. m = sqrt(M) for regression and sqrt (M) for classification

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

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

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

D. The server pass phrase (optional)

A. The server port (by default: 12347 for the authenticated server)

B. Generate a model of degree 2 using the most significant variables of the degree 1 model.

C. Reduce the number of explanatory variables used by the model while
maintaining the initial quality

A. "1" is a hypothetical perfect model, capable of explaining 100% of the target variable using the explanatory variables contained in the dataset analyzed. In practice, such a predictive power would generally indicate that an explanatory variable 100% correlated with the target variable was notexcluded from the dataset analyzed.

B. "0" is a purely random model

C. "0.79" is capable of explaining 79% of the information contained in the target variable using the explanatory variables contained in the dataset analyzed.

D. The system account of the authenticated user, this is the default with the system authentication

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

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

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

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

A. recise scheduling of main industrialization tasks

B. A minor discrepancy combined with a large number of records in the category

C. A high discrepancy between the category and the mean of the target category of the target variable

D. A combination of both

A. 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

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

C. The decision tree itself, which is displayed in the upper section 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.