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  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Jul 21, 2026
  • Q & A: 55 Questions and Answers
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  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Jul 21, 2026
  • Q & A: 55 Questions and Answers
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  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
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  • Q & A: 55 Questions and Answers
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IBM C2020-010 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model Evaluation and Deployment5%- Export and deploy models
- Model accuracy and performance metrics
- Model comparison and selection
Topic 2: Data Access and Source Nodes20%- Variable types and measurement levels
- Data preview and metadata inspection
- Import data from files and databases
Topic 3: Modeling Techniques20%- Neural networks and decision trees
- Association rules and sequence detection
- Classification and regression models
- Clustering and segmentation
Topic 4: Data Exploration and Visualization15%- Correlation and association analysis
- Graph nodes: histograms, scatterplots, bar charts
- Descriptive statistics and distributions
Topic 5: Data Preparation and Manipulation25%- Handling missing values and outliers
- Record operations: select, sort, aggregate, sample
- Merge and append datasets
- Field operations: derive, filter, reclassify, binning
Topic 6: Introduction to SPSS Modeler and CRISP-DM15%- Modeler interface and workbench
- CRISP-DM methodology
- Project and stream management

IBM SPSS Modeler Professional v2 Sample Questions:

1. Which nodes can be used to replace missing data with valid values? (Choose two.)

A) Filler node
B) Filter node
C) Distribution node
D) Data Audit node


2. What are the options for defining outliers in the Data Audit node? (Choose two.)

A) Standard deviations from the mean
B) Eigen values greater than 1
C) Values that represent less than 1% of all values
D) Inter quartile range


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


4. In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?

A) Stepwise
B) Forwards
C) Enter
D) Backwards


5. The Distribution node produces which output? (Choose two.)

A) Table displaying the percentage and count for each category of a field
B) Chart showing the distribution for a continuous field
C) Summary statistics for a continuous field
D) Chart showing the count for each category of a field


Solutions:

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

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