IBM SPSS Modeler Professional v2: C2020-010 Exam


"IBM SPSS Modeler Professional v2", also known as C2020-010 exam, is a IBM Certification. With the complete collection of questions and answers, PrepAwayTest has assembled to take you through 55 Q&As to your C2020-010 Exam preparation. In the C2020-010 exam resources, you will cover every field and category in IBM Certified Specialist Certification helping to ready you for your successful IBM Certification.

  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Total Questions: 55

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IBM C2020-010 Exam Syllabus Topics:

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

                                          IBM SPSS Modeler Professional v2 Sample Questions:

                                          1. True or false: business objectives are the origin & every data mining solution.

                                          A) False
                                          B) True


                                          2. In the Aggregate node, when you click on Preview button, which statement is true?

                                          A) The preview will by default be before aggregation but that can be changed.
                                          B) The Aggregate node does not have a Preview option.
                                          C) The preview will always be before aggregation.
                                          D) The preview will always be after aggregation.


                                          3. 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


                                          4. Fields of which measurement type are best suited for a Distribution node? (Choose two.)

                                          A) Nominal
                                          B) Flag
                                          C) Continuous
                                          D) Type less


                                          5. Summary statistics, such as mean, minimum, maximum, and standard deviation, are available in which of the following nodes? (Choose two.)

                                          A) Data Audit node
                                          B) Sample node
                                          C) Table node
                                          D) Statistics node


                                          Solutions:

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

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