Download IBM SPSS Modeler Professional v3.C2090-930.Lead2Pass.2019-02-27.60q.vcex

Vendor: IBM
Exam Code: C2090-930
Exam Name: IBM SPSS Modeler Professional v3
Date: Feb 27, 2019
File Size: 320 KB
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Demo Questions

Question 1
You need to export data using IBM SPSS Modeler Professional. 
Which two nodes should be used to accomplish this task? (Choose two.)
  1. Database
  2. Select
  3. Flat File
  4. Filter
Correct answer: AC
Explanation:
Reference:ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/modeler_nodes_general.pdf
Reference:
ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/modeler_nodes_general.pdf
Question 2
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?
  1. Inner join
  2. Outer join
  3. Partial outer join
  4. Anti-join
Correct answer: C
Question 3
What is the primary purpose of the Partition node in a modeling effort?
  1. Divide the data into training and testing data.
  2. Increase the proportion of under-represented subgroups within the data.
  3. Decrease the proportion of an over-represented subgroup within the data.
  4. Allow for equal sampling across subgroups within the data.
Correct answer: C
Explanation:
Reference:ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/modeler_nodes_general.pdf
Reference:
ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/modeler_nodes_general.pdf
Question 4
You want to calculate the difference between the minimum and maximum values of some of your data fields. 
Which feature or mode of the Aggregate node would allow you to calculate this using a single node?
  1. Aggregate expressions
  2. Median mode
  3. Default mode
  4. Key field grouping
Correct answer: B
Explanation:
Reference:ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/15.0/en/UsersGuide.pdf
Reference:
ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/15.0/en/UsersGuide.pdf
Question 5
You have a data set with numeric fields (columns) that contain null values. You want to replace each of these null values with the value of zero. 
Which node will you use to accomplish this task?
  1. Type node
  2. Filler node
  3. Filter node
  4. Binning node
Correct answer: C
Question 6
A client has a business goal of increasing units sold by 10 percent. 
Which two data mining objectives would be consistent with their business goal? (Choose two.)
  1. Create a profile of customers most likely to default on their account.
  2. Create a profile of current high value customers' purchasing patterns.
  3. Reduce marketing costs.
  4. Determine which products should be grouped together on the shopping Web site.
Correct answer: BC
Question 7
You have a data source which provides many fields needed for data scoring. Some of these fields are not needed after the scoring is complete for the rest of the stream to operate. 
Which node should be used to remove these fields?
  1. Filter node
  2. Select node
  3. Sample Node
  4. Type node
Correct answer: B
Question 8
You have a large amount of data from which you want to build a model. Although many of the records of data are complete, there are substantial amounts of records which contain missing data. The records containing incomplete information should be excluded from analysis. 
Which node will exclude the undesired records?
  1. Filler node
  2. Filter node
  3. Select node
  4. Aggregate node
Correct answer: C
Question 9
You have optimized four models that do not meet your performance goals. You believe that by mergingthese models together you would achieve better performance. 
Which node would allow you to accomplish this task?
  1. Aggregate node
  2. Reclassify node
  3. Regression node
  4. Ensemble node
Correct answer: D
Question 10
Which two statements are true about linear regression? (Choose two.)
  1. The estimation method of coefficient is ordinary least squares.
  2. Methods for variable entry and removal are Enter Stepwise, Forward, and Backward.
  3. The calculation of the predictor importance is based on Regression Sum-of-Squares.
  4. Adjusted R-Squared is not a measure for Goodness-of-Fit.
Correct answer: BC
Explanation:
Reference:http://www-01.ibm.com/support/knowledgecenter/SSLVMB_21.0.0/com.ibm.spss.statistics.help/linear_regression_methods.htm
Reference:
http://www-01.ibm.com/support/knowledgecenter/SSLVMB_21.0.0/com.ibm.spss.statistics.help/linear_regression_methods.htm
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