IBM C2090-930 Exam Questions Instant Access

Question 1

Which palette contains the Data Audit node?

AOutput

BModeling

CGraphs

DSources

Answer : A

http://www-01.ibm.com/support/knowledgecenter/SS3RA7_17.0.0/clementine/record_ops_nodes.html

Question 2

There are two database tables which contain data that is needed for analysis. One table contains information pertaining to customer names, customer I Ds. and their age. The other table contains customer IDs and customer address information.

Which node would be used to combine this data into a single data set for use?

AMerge node

BAppend node

CDerive node

DType node

Answer : C

Question 3

Which two statements are true about linear regression? (Choose two.)

AThe estimation method of coefficient is ordinary least squares.

BMethods for variable entry and removal are Enter Stepwise, Forward, and Backward.

CThe calculation of the predictor importance is based on Regression Sum-of-Squares.

DAdjusted R-Squared is not a measure for Goodness-of-Fit.

Answer : B, C

http://www-01.ibm.com/support/knowledgecenter/SSLVMB_21.0.0/com.ibm.spss.statistics.help/linear_regression_methods.htm

Question 4

You are provided with a data set that includes daily maximum temperatures at an airport. Your analysis requires you to create a new field containing the maximum temperature from five days ago.

Which node would be used for this purpose?

AHistory node

BFiller node

CTranspose node

DBinning node

Answer : A

Question 5

Your data contains 5,000 sales transactions across twelve regions.

Which node would reduce your data, showing the average sales amount for each region?

AAggregate node

BSelect node

CFilter node

DDerive node

Answer : D

Question 6

An online film streaming company is interested in building a movie recommendation model by analyzing the historical film watching pattern of its customers. For example, analysis of the historical data may reveal that all the customers who watched movie A and movie B, also had a high likelihood of watching movie C. This information can then be used to recommend movie C to all future customers who watch movies A and B.

Which modeling node would be used to build such a movie recommendation model?

ATime Series node

BApriori node

CLinear node

DCox node

Answer : D

Question 7

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

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

IBM SPSS Modeler Professional v3 C2090-930 Exam Questions