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IBM SPSS Modeler Professional v2 : C2020-010 Exam

C2020-010 actual test
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Jul 23, 2026
  • Q & A: 55 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $49.99  

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IBM C2020-010 Exam Syllabus Topics:

SectionObjectives
Deployment and Streams- SPSS Modeler Streams
  • 1. Stream construction and execution
    • 2. Node configuration and management
      - Model Deployment
      • 1. Exporting models
        • 2. Scoring models
          Model Building- Predictive Modeling
          • 1. Classification models
            • 2. Regression models
              - Clustering Techniques
              • 1. K-means clustering
                • 2. Two-step clustering
                  Data Preparation- Data Transformation
                  • 1. Derived fields creation
                    • 2. Normalization and standardization
                      - Data Integration
                      • 1. Data aggregation
                        • 2. Merge and append operations
                          Data Understanding- Data Exploration
                          • 1. Data profiling and summary statistics
                            • 2. Data types and structures in SPSS Modeler
                              - Data Quality
                              • 1. Missing value analysis
                                • 2. Outlier detection
                                  Model Evaluation- Model Comparison
                                  • 1. Model selection techniques
                                    • 2. Cross-validation
                                      - Model Assessment
                                      • 1. ROC and lift charts
                                        • 2. Confusion matrix interpretation

                                          IBM SPSS Modeler Professional v2 Sample Questions:

                                          1. Some data mining models such as Neural Net and Support Vector Machine models do not provide equations or rules to help analysts determine how the models use the input fields for prediction. If you have a categorical target field and a continuous input field, which graphing technique could aid with interpretation?

                                          A) Plot node
                                          B) Histogram node
                                          C) Distribution node
                                          D) Evaluation node


                                          2. Which statement is correct regarding the Balance node shown below?

                                          A) The sizes of the first and third groups will be increased.
                                          B) The "bad profit" category is the smallest group.
                                          C) The sizes of the larger two groups will be reduced to equal the size of the smallest group.
                                          D) The result group sizes will always be the same each time the Balance node is run.


                                          3. Which nodes are best suited for revealing relationships between categorical (nominal, ordinal) fields? (Choose two.)

                                          A) Distribution node
                                          B) Table node
                                          C) Matrix node
                                          D) Means node


                                          4. The Select node shown below performs which operation?

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


                                          5. To score new data using an existing model, the user must:

                                          A) Change the data source and rename the fields as needed to match the names of the fields in original file.
                                          B) Change the data source and rename the fields so they do not match the names of the fields in original file.
                                          C) Not change the data source and develop a new model for that data.
                                          D) Change the data source and develop a new model for that data.


                                          Solutions:

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

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