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IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation and Transformation | - Data transformation and feature engineering - Field derivation and manipulation techniques - Data cleaning and handling missing values |
| Topic 2: Model Evaluation and Deployment | - Model validation and performance evaluation - Deployment of predictive models - Model comparison and selection |
| Topic 3: Advanced SPSS Modeler Features | - Automated modeling (Auto Classifier, Auto Numeric) - Stream optimization and performance tuning - Integration with IBM analytics ecosystem |
| Topic 4: SPSS Modeler Fundamentals | - Data import and preparation basics - Introduction to IBM SPSS Modeler environment - Data stream and project structure |
| Topic 5: Model Building Techniques | - Classification and regression models - Association and sequence modeling - Clustering and segmentation methods |
IBM SPSS Modeler Professional v2 Sample Questions:
1. A histogram chart is used to graph fields of which measurement type?
A) Ordinal
B) Nominal
C) Flag
D) Continuous
2. When using the Algorithm method to replace missing values in Data Audit output, which algorithm is used?
A) Cox Regression
B) 05.0
C) Neural Net
D) C&RT
3. True or false: missing values can be specified in the Source node used to read the data or in the Type node.
A) True
B) False
4. In Sequence modeling, specifying that IDs are contiguous has which effect?
A) Speeds up the processing.
B) Requires fewer observations to create a valid model.
C) Improves the model Silhouette measure.
D) Requires fewer fields to create the model.
5. Which nodes can be used to replace missing data with valid values? (Choose two.)
A) Filler node
B) Filter node
C) Distribution node
D) Data Audit node
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A,D |
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