IBM SPSS Modeler Professional v2 : C2020-010

C2020-010 real exams

Exam Code: C2020-010

Exam Name: IBM SPSS Modeler Professional v2

Updated: Aug 14, 2026

Q & A: 55 Questions and Answers

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IBM C2020-010 Exam Syllabus Topics:

SectionObjectives
Modeling Techniques- Model evaluation and deployment
- Supervised learning algorithms
- Unsupervised learning algorithms
IBM SPSS Modeler Overview- Explain data mining concepts and CRISP-DM methodology
- Understand SPSS Modeler architecture and components
Model Deployment and Administration- Managing model results and scoring processes
- Deploying predictive models
Data Preparation- Data cleansing, transformation, and manipulation
- Using nodes for data preparation workflows
- Importing and accessing data sources
IBM SPSS Modeler Functionality- Streams and stream management
- Automation and scripting capabilities
- Using modeling, output, and utility nodes

IBM SPSS Modeler Professional v2 Sample Questions:

1. Which statements are true of the Feature Selection node? (Choose two.)

A) When a Target field is not specified then it will create a generalized output.
B) The Target fields can be either categorical or continuous measurement.
C) The Input fields can only be continuous measurement.
D) Input fields can be selected on the basis of importance.


2. Assume you have two data files: a personnel file with information about employees and a second file with information about performance categories. You will use IBM SPSS Modeler to merge the files together using performance category as the key. However, there are inconsistencies in the category keys used in both the personnel file and the performance file. In order to merge the files together without losing information from either the personnel file or the performance category file, you would use:

A) A partial outer join.
B) A full outer join.
C) An inner join.
D) An anti-join.


3. The Analysis node can be very useful with regard to model evaluation. Consider this output from the Analysis node.

When comparing the overall accuracy of the Neural Net model to the 05 model, the Neural Net model is:

A) Not determined
B) The same accuracy
C) More accurate
D) Less accurate


4. Which node allows you to choose from many different graph types (bar charts, pie charts, scatterplots, heatmaps, etc.) in one single node?

A) Evaluation node
B) Graphboard node
C) Multiplot node
D) Collection node


5. Which statement is the correct interpretation of the rule: "those that use less than or equal to 4.976 of LOCAL are predicted to be InVol"?

A) Thisruledoesnotexist.
B) The accuracy of this rule cannot be determined.
C) The rule applies to 88 people and the confidence is 80.7%.
D) This rule was accurate 88 times which was 80.7% of the time.


Solutions:

Question # 1
Answer: B,D
Question # 2
Answer: B
Question # 3
Answer: D
Question # 4
Answer: B
Question # 5
Answer: C

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