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Q21. 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
Answer: C
Q22. You have optimized four models that do not meet your performance goals. You believe that by mergingthese models together you would achieve better performance.
A. Aggregate node
B. Reclassify node
C. Regression node
D. Ensemble node
Answer: D
Q23. You are working on a project where the business objective is to increase customer retention. You havecompleted the Data Preparation stage of the CRISP-DM process model.
What is the next stage?
A. Data Understanding
B. Deployment
C. Evaluation
D. Modeling
Answer: B
Q24. 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?
A. Time Series node
B. Apriori node
C. Linear node
D. Cox node
Answer: D
Q25. You are provided two data sources which both contain event IDs and the date/time that the events occurred.
A. Append node
B. Filter node
C. Aggregate node
D. Sort node
Answer: A
Q26. What is a unique capability of scripting in IBM SPSS Modeler Professional?
A. SuperNode creation
B. Process automation
C. Model customization
D. Output formatting
Answer: A
Explanation: Reference:
ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/modeler_jython_scripting_automation_book.pdf
Q27. You need to export data using IBM SPSS Modeler Professional.
Which two nodes should be used to accomplish this task? (Choose two.)
A. Database
B. Select
C. Flat File
D. Filter
Answer: A,C
Explanation: Reference:
ftp://public.dhe.ibm.com/software/analytics/spss/documentation/modeler/16.0/en/modeler_nodes_general.pdf
Q28. 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.)
A. The customer uses a Kohonen node in an effort to group data into clusters using a self- organizing map of neurons.
B. The customer uses a TwoStep node to identify the optimal set of clusters within the data.
C. The customer uses a RFM Aggregate node to identify the optimal set of clusters within the data.
D. The customer uses a Carma node in an effort to group data into clusters using a self- organizing map of neurons.
Answer: A,B
Q29. You need to score future data using an association model.
Which statement describes the data format requirement to do this?
A. An association model built using transactional data can be used to score tabular data.
B. An association model built using tabular data can be used to score transactional data.
C. Any association model can be used to score both transactional and tabular data: regardless of the format of the input data used to build the model.
D. An association model built using transactional data can only be used to score transactional data; an association model built using tabular data can only be used to score tabular data.
Answer: B
Q30. Which statement is true about association models?
A. Association models associate a particular conclusion, such as the decision to buy something with a set of conditions.
B. The Regression node can directly generate an association model.
C. TheApriori node does not require one or more target (consequent) fields to build an association model.
D. TheCarma node requires both one or more input fields and one or more target (consequent) fields to build an association model.
Answer: D
Explanation: Reference:
http://www- 01.ibm.com/support/knowledgecenter/SS3RA7_15.0.0/com.ibm.spss.modeler.help/carman ode_general.htm