[Free] 2019(Nov) EnsurePass IBM C2090-930 Dumps with VCE and PDF 11-20

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Question No.11

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?

  1. Time Series node

  2. Apriori node

  3. Linear node

  4. Cox node

Correct Answer: D

Question No.12

You need to output only a list of field names, arranged in a single column, for a reporting function. You have already imported the data using a Database node and know it has 25,000 records.

Which node sequence would yield the desired output?

  1. Database gt; Filter gt; Transform gt; Table

  2. Database gt; Transform gt; Filter gt; Table

  3. Database gt; Filter gt; Transpose gt; Table

  4. Database gt; Transpose gt; Filter gt; Table

Correct Answer: C

Question No.13

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: http://www-

01.ibm.com/support/knowledgecenter/SSLVMB_21.0.0/com.ibm.spss.statistics.help/linear_ regression_methods.htm

Question No.14

A customer has a large data set with no target variables or known results and is looking for a good approach for understanding more about groups within the data set. Which two IBM SPSS Modeler Professional node applications represent a correct approach to accomplish this task? (Choose two.)

  1. The customer uses a Kohonen node in an effort to group data into clusters using a self- organizing map of neurons.

  2. The customer uses a TwoStep node to identify the optimal set of clusters within the data.

  3. The customer uses a RFM Aggregate node to identify the optimal set of clusters within the data.

  4. The customer uses a Carma node in an effort to group data into clusters using a self- organizing map of neurons.

Correct Answer: AB

Question No.15

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 No.16

Which two modeling techniques handle both categorical and continuous target variables? (Choose two.)

  1. QUEST

  2. CHAID

  3. C5.0

  4. C amp; R Tree

Correct Answer: BC

Question No.17

Referring to the exhibit, respectively, which field is the predicted value and what is the confidence that you have in the prediction?


  1. $XS-Credit rating; $XSC-Credit rating

  2. Credit rating; $XSC-Credit rating

  3. $XSC-Credit rating; $XS-Credit rating

  4. Credit rating; $XS-Credit rating

Correct Answer: D

Question No.18

What is a unique capability of scripting in IBM SPSS Modeler Professional?

  1. SuperNode creation

  2. Process automation

  3. Model customization

  4. Output formatting

Correct Answer: A

Explanation: ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/modeler_jython_ scripting_automation_book.pdf

Question No.19

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 No.20

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?

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

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

  3. Cluster the data into subgroups to differentiate the campaign#39;s predictions by those subgroups represented within the data.

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

Correct Answer: B


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

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