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1. 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 anti-join.
C) A partial outer join.
D) An inner join.
2. Some data mining models such as Neural Net and Support Vector Machine models do not provide equations or rules to help analysts determine how the models use the input fields for prediction. If you have a categorical target field and a continuous input field, which graphing technique could aid with interpretation?
A) Distribution node
B) Evaluation node
C) Histogram node
D) Plot node
3. Which Source node would you use to read text from a free-field (delimited) text file?
A) Fixed File node
B) Data Collection node
C) Enterprise View node
D) Var. File node
4. Which stage of the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology is the most time consuming?
A) Modeling
B) Data Preparation
C) Business Understanding
D) Evaluation
5. Which nodes are best suited for revealing relationships between categorical (nominal, ordinal) fields? (Choose two.)
A) Distribution node
B) Means node
C) Matrix node
D) Table node
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: A,C |
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