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IBM SPSS Modeler Professional v3

Question No: 11

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

Answer: C

Question No: 12

You have duplicate records that must be removed from a data set in IBM SPSS Modeler Professional.

The appropriate node to perform this action would be found in which palette tab?

  1. Sources

  2. Record Ops

  3. Field Ops

  4. Export

Answer: B

Reference:

http://www- 01.ibm.com/support/knowledgecenter/SS3RA7_17.0.0/clementine/record_ops_nodes.html

Question No: 13

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?

  1. Web node

  2. Distribution node

  3. Sim Fit node

  4. Evaluation node

Answer: C

Question No: 14

You have a model nugget in the Models palette, but the stream used to create the model is not available. You want to refresh the model by rebuilding it on a new data set, but using the same variables and settings used to build the original model nugget.

Which capability in the modeling nuggets in the Models palette will you use for this purpose?

  1. Add To Stream

  2. Save Model

  3. Export PMML

  4. Generate Modeling node

Answer: B

Question No: 15

An organization wants to determine why they are losing customers.

Which supervised modeling technique would be used to accomplish this task?

  1. PCA

  2. QUEST

  3. Apriori

  4. Kohonen

Answer: C

Question No: 16

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

Answer: D

Question No: 17

There are two database tables which contain data that is needed for analysis. One table contains information pertaining to customer names, customer I Ds. and their age. The other table contains customer IDs and customer address information.

Which node would be used to combine this data into a single data set for use?

  1. Merge node

  2. Append node

  3. Derive node

  4. Type node

Answer: C

Question No: 18

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

Answer: D

Question No: 19

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?

  1. Data Understanding

  2. Deployment

  3. Evaluation

  4. Modeling

Answer: B

Question No: 20

You need to score future data using an association model.

Which statement describes the data format requirement to do this?

  1. An association model built using transactional data can be used to score tabular data.

  2. An association model built using tabular data can be used to score transactional data.

  3. 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.

  4. 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

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