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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Preparation | 20% | - Sampling, partitioning and balancing - Filtering, aggregation and refinement - Data integration, merging and appending - Data transformation and cleaning |
| Topic 2: Business Understanding and Planning | 10% | - CRISP-DM methodology - Align business objectives to data mining goals |
| Topic 3: SPSS Modeler Professional Functionality | 10% | - Node palettes and SuperNodes - Stream creation and management - Scripting and automation |
| Topic 4: Evaluation and Analysis | 15% | - Interpretation and visualization of results - Model performance assessment - Validation methods |
| Topic 5: Modeling | 20% | - Auto-modeling and ensemble techniques - Classification and regression models - Clustering and segmentation models - Association and sequence models |
| Topic 6: Deployment | 10% | - Stream export and integration - Scoring new data - Reporting and documentation |
| Topic 7: Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
1. After the binning node and Optimal binning on debt to income ratio Previously defaulted as the Supervisor field, we observe in matrix the following relationship between the behind field and previously defaulted.
This relationship exists because optimal binning attempts to create bins so the relationship between the Supervisor field and the banned field as maximized.
A) True
B) False
2. To score new data using an existing model, the user must:
A) Change the data source and rename the fields so they do not match the names of the fields in original file.
B) Change the data source and rename the fields as needed to match the names of the in original file.
C) Not change the data source and develop a new model for that data.
D) Change the data source and develop a new model for that data.
3. What is the function of the Ensemble node?
A) Combining models together to produce higher accuracy
B) The development of additional fields to improve accuracy
C) None of the above
D) Transferring the existing values to improve accuracy
4. Which statement about the filer dialogue shown below is correct?
A) Missing values for the field @FIELD will be replaced.
B) None of the statements is correct.
C) The missing values for both AGE and INCOME will be replaced by zeroes.
D) No missing values will be replaced because neither field was specified in Condition box for missing value replacement.
5. Which node is best suited for revealing relationships between continuous and categorical (nominal, ordinal) fields?
A) Means node
B) Distribution node
C) Statistics node
D) Table node
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: A |
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