IBM C2020-010 Q&A - in .pdf

  • C2020-010 pdf
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Aug 15, 2026
  • Q & A: 55 Questions and Answers
  • Convenient, easy to study.
    Printable IBM C2020-010 PDF Format. It is an electronic file format regardless of the operating system platform.
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  • PDF Price: $49.99

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  • Exam Name: IBM SPSS Modeler Professional v2
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  • Updated: Aug 15, 2026
  • Q & A: 55 Questions and Answers
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IBM C2020-010 Q&A - Testing Engine

  • C2020-010 Testing Engine
  • Exam Code: C2020-010
  • Exam Name: IBM SPSS Modeler Professional v2
  • Updated: Aug 15, 2026
  • Q & A: 55 Questions and Answers
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IBM C2020-010 Exam Syllabus Topics:

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

                                          IBM SPSS Modeler Professional v2 Sample Questions:

                                          1. In the Two Step node shown below, what does Standardize numeric fields mean?

                                          A) Limit the number of created clusters.
                                          B) Eliminate outliers to improve results.
                                          C) Use only the numeric fields that have the same scale.
                                          D) Transform the numeric fields to a scale with a mean of zero and a variance of one.


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

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


                                          3. Consider this Filler node where Age of respondent is stored as a string. What operation will the Replace with:
                                          Expression accomplish?

                                          A) Converts numeric values to integers and leaves the non-numeric values as is.
                                          B) Uses @FIELD to create a new field.
                                          C) The expression is not a valid operation.
                                          D) Converts numeric values to integers and converts non-numeric values to $null$ value.


                                          4. Which statements are true of the Feature Selection node? (Choose two.)

                                          A) The Input fields can only be continuous measurement.
                                          B) The Target fields can be either categorical or continuous measurement.
                                          C) When a Target field is not specified then it will create a generalized output.
                                          D) Input fields can be selected on the basis of importance.


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

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


                                          Solutions:

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

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