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IBM C2020-010 Exam Syllabus Topics:

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

                                          IBM SPSS Modeler Professional v2 Sample Questions:

                                          1. Which statement is the correct interpretation of the rule: "those that use less than or equal to 4.976 of LOCAL are predicted to be InVol"?

                                          A) Thisruledoesnotexist.
                                          B) The rule applies to 88 people and the confidence is 80.7%.
                                          C) This rule was accurate 88 times which was 80.7% of the time.
                                          D) The accuracy of this rule cannot be determined.


                                          2. Which node is best suited for revealing relationships between continuous and categorical (nominal, ordinal) fields?

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


                                          3. The Feature Selection node is used for what reasons? (Choose two.)

                                          A) Ranks the models by importance.
                                          B) Screens input fields for problems such as missing data.
                                          C) Selects the best input fields for model.
                                          D) Selects the best fitting model.


                                          4. Which Source node would you use to read text from a free-field (delimited) text file?

                                          A) Enterprise View node
                                          B) Var. File node
                                          C) Fixed File node
                                          D) Data Collection node


                                          5. True or false: in the PCA/Factor node when doing a Principal Components analysis without rotation, the values reported in the Component Matrix represents the correlation between each field and a factor.

                                          A) True
                                          B) False


                                          Solutions:

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

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