IBM C2020-010 Q&A - in .pdf

  • C2020-010 pdf
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Oct 12, 2026
  • Q & A: 55 Questions and Answers
  • Convenient, easy to study.
    Printable IBM C2020-010 PDF Format. It is an electronic file format regardless of the operating system platform.
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  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
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  • Updated: Oct 12, 2026
  • Q & A: 55 Questions and Answers
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IBM C2020-010 Q&A - Testing Engine

  • C2020-010 Testing Engine
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Oct 12, 2026
  • Q & A: 55 Questions and Answers
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IBM C2020-010 Exam Syllabus Topics:

SectionWeightObjectives
Model Evaluation and Deployment5%- Export and deploy models
- Model accuracy and performance metrics
- Model comparison and selection
Data Preparation and Manipulation25%- Handling missing values and outliers
- Merge and append datasets
- Record operations: select, sort, aggregate, sample
- Field operations: derive, filter, reclassify, binning
Introduction to SPSS Modeler and CRISP-DM15%- CRISP-DM methodology
- Modeler interface and workbench
- Project and stream management
Data Access and Source Nodes20%- Variable types and measurement levels
- Data preview and metadata inspection
- Import data from files and databases
Data Exploration and Visualization15%- Descriptive statistics and distributions
- Correlation and association analysis
- Graph nodes: histograms, scatterplots, bar charts
Modeling Techniques20%- Neural networks and decision trees
- Association rules and sequence detection
- Clustering and segmentation
- Classification and regression models

IBM SPSS Modeler Professional v2 Sample Questions:

Question #1

The Select node shown below performs which operation?

  • A. Selects respondents whose incomes are greater than or equal to 20,000 and less than or equal to 50,000.
  • B. Selects respondents whose incomes are exactly 20,000 or 50,000.
  • C. Selects respondents whose incomes are between 20,000 and 50,000.
  • D. The expression is incorrect.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #2

Which node is best suited for revealing relationships between continuous and categorical (nominal, ordinal) fields?

  • A. Table node
  • B. Means node
  • C. Statistics node
  • D. Distribution node
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

In order to make Decision Tree models more general, avoid overfitting, and make the trees less complex, what would you need to change in the dialog below? (Choose two.)

  • A. Decrease the Minimum records per child branch.
  • B. Decrease the pruning severity.
  • C. Increase the Minimum records per child branch.
  • D. Increase the pruning severity.
Reveal Solution  Discussion  0

Correct Answer: C,D  🗳️

Question #4

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. The accuracy of this rule cannot be determined.
  • B. The rule applies to 88 people and the confidence is 80.7%.
  • C. Thisruledoesnotexist.
  • D. This rule was accurate 88 times which was 80.7% of the time.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

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

  • A. Input fields can be selected on the basis of importance.
  • B. When a Target field is not specified then it will create a generalized output.
  • C. The Target fields can be either categorical or continuous measurement.
  • D. The Input fields can only be continuous measurement.
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

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