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| Section | Objectives |
|---|---|
| Data Preparation | - Using nodes for data preparation workflows - Data cleansing, transformation, and manipulation - Importing and accessing data sources |
| Modeling Techniques | - Supervised learning algorithms - Model evaluation and deployment - Unsupervised learning algorithms |
| IBM SPSS Modeler Overview | - Explain data mining concepts and CRISP-DM methodology - Understand SPSS Modeler architecture and components |
| IBM SPSS Modeler Functionality | - Streams and stream management - Using modeling, output, and utility nodes - Automation and scripting capabilities |
| Model Deployment and Administration | - Managing model results and scoring processes - Deploying predictive models |
Question 1
Which node allows you to choose from many different graph types (bar charts, pie charts, scatterplots, heatmaps, etc.) in one single node?
A. Evaluation node
B. Collection node
C. Graphboard node
D. Multiplot node
Question 2
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. An inner join.
B. An anti-join.
C. A partial outer join.
D. A full outer join.
Question 3
Which nodes can be used to replace missing data with valid values? (Choose two.)
A. Filter node
B. Data Audit node
C. Distribution node
D. Filler node
Question 4
Which Model nodes can have a categorical target field? (Choose three.)
A. C&R Tree node
B. Linear node
C. Neural Net node
D. Discriminant node
Question 5
What is the function of the Ensemble node?
A. None of the above
B. The development of additional fields to improve accuracy
C. Transforming the existing values to improve accuracy
D. Combining models together to produce higher accuracy
Solutions:
| Question 1 Answer: C | Question 2 Answer: D | Question 3 Answer: B,D | Question 4 Answer: A,C,D | Question 5 Answer: D |
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