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Last Updated: Aug 05, 2026
No. of Questions: 55 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Access and Source Nodes | 20% | - Import data from files and databases - Variable types and measurement levels - Data preview and metadata inspection |
| Topic 2: Data Preparation and Manipulation | 25% | - Handling missing values and outliers - Field operations: derive, filter, reclassify, binning - Record operations: select, sort, aggregate, sample - Merge and append datasets |
| Topic 3: Introduction to SPSS Modeler and CRISP-DM | 15% | - Modeler interface and workbench - CRISP-DM methodology - Project and stream management |
| Topic 4: Modeling Techniques | 20% | - Neural networks and decision trees - Association rules and sequence detection - Clustering and segmentation - Classification and regression models |
| Topic 5: Data Exploration and Visualization | 15% | - Graph nodes: histograms, scatterplots, bar charts - Descriptive statistics and distributions - Correlation and association analysis |
| Topic 6: Model Evaluation and Deployment | 5% | - Model comparison and selection - Export and deploy models - Model accuracy and performance metrics |
1. True or false: business objectives are the origin & every data mining solution.
A) False
B) True
2. Which node is best suited for revealing relationships between continuous and categorical (nominal, ordinal) fields?
A) Means node
B) Distribution node
C) Table node
D) Statistics node
3. In the Regression node, which option uses all of the input fields in the model regardless of importance or significance?
A) Stepwise
B) Backwards
C) Enter
D) Forwards
4. Assume you have two data files: a personnel file with information about employees and a second file with information about performance categories. You will use IBM SPSS Modeler to merge the files together using performance category as the key. However, there are inconsistencies in the category keys used in both the personnel file and the performance file. In order to merge the files together without losing information from either the personnel file or the performance category file, you would use:
A) A full outer join.
B) An inner join.
C) An anti-join.
D) A partial outer join.
5. Which nodes are best suited for revealing relationships between categorical (nominal, ordinal) fields? (Choose two.)
A) Means node
B) Distribution node
C) Matrix node
D) Table node
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: B,C |
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