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Get C2090-930 Dumps : Verified IBM SPSS Modeler Professional v3

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C2090-930 Questions and Answers

Question # 1

You have executed a model node which has generated a model nugget connected to your stream's data source.

What will allow the stream to score data with this new nugget?

A.

Remove any partition node to allow all data to be scored.

B.

Add a Discriminant node to use the nugget model for scoring.

C.

Remove the Reclassify node to use the nugget model for scoring.

D.

Add an output node downstream from the nugget.

Question # 2

Which task is part of the Data Understanding stage of the CRISP-DM process model?

A.

Explore data

B.

Balance data

C.

Clean data

D.

Construct data

Question # 3

You have a model nugget in the Models palette, but the stream used to create the model is not available. You want to refresh the model by rebuilding it on a new data set, but using the same variables and settings used to build the original model nugget.

Which capability in the modeling nuggets in the Models palette will you use for this purpose?

A.

Add To Stream

B.

Save Model

C.

Export PMML

D.

Generate Modeling node

Question # 4

You have two data sets. One data set contains customer name and age information along with a customer ID. The second data set contains the customer ID along with address information. There are no addresses which do not belong to a customer, there are customers which have no address, and there are customers which have multiple addresses.

Which type of join will display all customers who have no recorded address?

A.

Inner join

B.

Outer join

C.

Partial outer join

D.

Anti-join

Question # 5

You are hired by a large corporation to perform advanced analytics on their human resources data. 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?

A.

Binning node

B.

Field Reorder node

C.

Partition node

D.

Distinct node

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