Download IBM SPSS Modeler Professional v3.C2090-930.TestKing.2018-08-08.33q.vcex

Vendor: IBM
Exam Code: C2090-930
Exam Name: IBM SPSS Modeler Professional v3
Date: Aug 08, 2018
File Size: 269 KB
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Demo Questions

Question 1
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 2
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 3
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 4
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
Question 5
You need to determine whether a variable should be removed in the stepwise variable selection methods in logistic regression. 
Which two metrics are used to accomplish this task? (Choose two.)
  1. Wald Statistic
  2. KS-Statistic
  3. Likelihood Ratio (LR) Statistic
  4. Z-Statistic
Correct answer: AD
Question 6
  
Referring to the exhibit, from which node is the output generated and on which data does it show greater accuracy?
  1. Statistics, 1_Training
  2. Statistics, 2_Testing
  3. Analysis, 1_Training
  4. Analysis, 2_Testing
Correct answer: B
Question 7
How many stages are there in the CRISP-DM process model? 
  1. 4
  2. 6
  3. 8
  4. 10
Correct answer: C
Question 8
You want to create a Filter node to keep only a subset of the variables used in model building, based on predictor importance. 
Which menu in the model nugget browser provides this functionality?
  1. File
  2. Preview
  3. View
  4. Generate
Correct answer: C
Question 9
Which palette contains the Data Audit node? 
  1. Output
  2. Modeling
  3. Graphs
  4. Sources
Correct answer: A
Explanation:
Reference:http://www-01.ibm.com/support/knowledgecenter/SS3RA7_17.0.0/clementine/record_ops_nodes.html
Reference:
http://www-01.ibm.com/support/knowledgecenter/SS3RA7_17.0.0/clementine/record_ops_nodes.html
Question 10
You are working on a project where the business objective is to increase sales revenue. 
With which CRISP-DM process model stage would you start?
  1. Data Preparation
  2. Data Understanding
  3. Evaluation
  4. Business Understanding
Correct answer: C
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