IBM C2020-010 - IBM SPSS Modeler Professional v2

IBM C2020-010 Actual PDF
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Aug 09, 2026
  • Q & A: 55 Questions and Answers
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IBM C2020-010 Exam Syllabus Topics:

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

                                          IBM SPSS Modeler Professional v2 Sample Questions:

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

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


                                          2. Assume you have four fields, 4, A, C and D and you wish to find the sum of the values even if there are $null$ missing values in one or more fields. Which expression would accomplish this task?

                                          A) A+B+C+D
                                          B) Sum_n((ABCIJ))
                                          C) to_real(A) + to_real(B) + to_real(C) + to_real(D)
                                          D) sum_n([A, B, C, D])


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

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


                                          4. 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) Input fields can be selected on the basis of importance.
                                          C) The Input fields can only be continuous measurement.
                                          D) The Target fields can be either categorical or continuous measurement.


                                          5. Generally speaking, to modify values in columns of a working data file, you would use nodes from which palette or menu group?

                                          A) Record Ops
                                          B) Sources
                                          C) Field Ops
                                          D) Export


                                          Solutions:

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

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