Testking offers free demo for C2090-930 exam. "IBM SPSS Modeler Professional v3", also known as C2090-930 exam, is a IBM Certification. This set of posts, Passing the IBM C2090-930 exam, will help you answer those questions. The C2090-930 Questions & Answers covers all the knowledge points of the real exam. 100% real IBM C2090-930 exams and revised by experts!


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Q11. 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


Q12. 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


Q13. 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


Q14. You have a data set with two different date fields (columns). Your analysis requires you to create a new field which is the number of calendar days elapsed between these two dates.

Which node will you use to accomplish this task?

A. Filter node

B. Type node

C. Derive node

D. Reclassify node

Answer: C


Q15. 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?

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

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

C. Cluster the data into subgroups to differentiate the campaign's predictions by those subgroups represented within the data.

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

Answer: B

Explanation: Reference:

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


Q16. 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?

A. Data Preparation

B. Data Understanding

C. Evaluation

D. Business Understanding

Answer: C


Q17. 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.)

A. Create a profile of customers most likely to default on their account.

B. Create a profile of current high value customers' purchasing patterns.

C. Reduce marketing costs.

D. Determine which products should be grouped together on the shopping Web site.

Answer: B,C


Q18. 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


Q19. 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

Answer: C


Q20. You have collected data about a set of patients, all of whom suffered from the same illness. During their course of treatment, each patient responded to one of five medications. The column. Drug, is a character field that describes the medication. You need to find out which proportion of the patients responded to each drug.

Which node should be used?

A. Web node

B. Distribution node

C. Sim Fit node

D. Evaluation node

Answer: C