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Updated: Jul 28, 2026

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IBM C2020-010 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM SPSS Modeler Professional v2
Exam Number:C2020-010
Real Exam Qty:60
Exam Price:USD 200 (varies by region)
Certificate Validity Period:2 years
Available Languages:English
Passing Score:63%
Exam Duration:90 minutes
Related Certifications:IBM Certified Specialist - SPSS Modeler
IBM Data Science Certifications
Exam Format:Multiple Choice
Sample Questions:IBM C2020-010 Sample Questions
Exam Way:Online proctored or test center-based IBM certification exam
Pre Condition:Recommended experience with data mining and SPSS Modeler tool usage
Official Syllabus URL:https://www.ibm.com/certification

IBM C2020-010 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Preparation- Data Transformation
  • 1. Normalization and standardization
    • 2. Derived fields creation
      - Data Integration
      • 1. Data aggregation
        • 2. Merge and append operations
          Topic 2: Deployment and Streams- SPSS Modeler Streams
          • 1. Stream construction and execution
            • 2. Node configuration and management
              - Model Deployment
              • 1. Exporting models
                • 2. Scoring models
                  Topic 3: Data Understanding- Data Exploration
                  • 1. Data types and structures in SPSS Modeler
                    • 2. Data profiling and summary statistics
                      - Data Quality
                      • 1. Missing value analysis
                        • 2. Outlier detection
                          Topic 4: Model Building- Clustering Techniques
                          • 1. K-means clustering
                            • 2. Two-step clustering
                              - Predictive Modeling
                              • 1. Classification models
                                • 2. Regression models
                                  Topic 5: Model Evaluation- Model Assessment
                                  • 1. ROC and lift charts
                                    • 2. Confusion matrix interpretation
                                      - Model Comparison
                                      • 1. Cross-validation
                                        • 2. Model selection techniques

                                          IBM SPSS Modeler Professional v2 Sample Questions:

                                          1. Using the Linear node, what are the advantages of creating a standard model without boosting or bagging? (Choose two.)

                                          A) Higher accuracy
                                          B) Easter to score
                                          C) Easier interpretation
                                          D) None of the above


                                          2. In Sequence modeling, specifying that IDs are contiguous has which effect?

                                          A) Requires fewer observations to create a valid model.
                                          B) Requires fewer fields to create the model.
                                          C) Improves the model Silhouette measure.
                                          D) Speeds up the processing.


                                          3. Which values are available as Field Roles? (Choose three.)

                                          A) Target
                                          B) Nominal
                                          C) Input
                                          D) Partition


                                          4. True or false: missing values can be specified in the Source node used to read the data or in the Type node.

                                          A) False
                                          B) True


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

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


                                          Solutions:

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

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