Question 1

Which statement is true about association models?

AAssociation models associate a particular conclusion, such as the decision to buy something with a set of conditions.

BThe Regression node can directly generate an association model.

CTheApriori node does not require one or more target (consequent) fields to build an association model.

DTheCarma node requires both one or more input fields and one or more target (consequent) fields to build an association model.

Answer : D

http://www-01.ibm.com/support/knowledgecenter/SS3RA7_15.0.0/com.ibm.spss.modeler.help/carmanode_general.htm

Question 2

Your analysis requires you to export data in a tab delimited file.

Which export node will you use to accomplish this task in IBM SPSS Modeler Professional?

AFlat File

BXML Export

CStatistics Export

DExcel

Answer : C

Question 3

What are two purposes of model nuggets? (Choose two.)

AScoring data to generate predictions

BEnabling further analysis of the model properties

CMerging of two or more data sets

DReducing the number of columns in a data set

Answer : B, D

Question 4

You are hired by a large corporation to perform advanced analytics on their human resources dat

a. One of the fields available in this data set is employee salary. You need to convert raw salary information into percentile rankings within the corporation.

Which node will you use to accomplish this task?

ABinning node

BField Reorder node

CPartition node

DDistinct node

Answer : D

Question 5

You are managing a marketing campaign and experience poor performance for large sections of your data.

Which approach is a correct method to improve your campaign performance?

ARestructure the data and use the new fields as inputs to a time series model.

BMove the nodes into a SuperNode to take advantage of the special clustering methods available within SuperNode functionality.

CCluster the data into subgroups to differentiate the campaign's predictions by those subgroups represented within the data.

DTranspose the data to use the rows as columns in a new predictive model.

Answer : B