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| Section | Weight | Objectives |
|---|---|---|
| Evaluation and Analysis | 15% | - Model performance assessment - Validation methods - Interpretation and visualization of results |
| Data Understanding | 15% | - Explore and visualize data - Identify data quality issues |
| Deployment | 10% | - Reporting and documentation - Stream export and integration - Scoring new data |
| Modeling | 20% | - Classification and regression models - Auto-modeling and ensemble techniques - Association and sequence models - Clustering and segmentation models |
| Data Preparation | 20% | - Sampling, partitioning and balancing - Data integration, merging and appending - Filtering, aggregation and refinement - Data transformation and cleaning |
| Business Understanding and Planning | 10% | - Align business objectives to data mining goals - CRISP-DM methodology |
| SPSS Modeler Professional Functionality | 10% | - Scripting and automation - Node palettes and SuperNodes - Stream creation and management |
1. Assume you have a data file which has the first and last name (Called FIRST_NAME and LAST_NAME respectively). You would use a Derive node to create a field named FULL_NAME containing values with first name, space, last name. Which expression would produce the correct result?
A) FIRST_NAME ** ++ ** LAST_NAME
B) FIRST_NAME >< ** >< LAST_NAME
C) FIRST_NAME >< LAST_NAME
D) FIRST_NAME + ** + LAST_NAME
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 inconsistence in the category keys used in both in 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) A partial outer join
C) An anti-join
D) An inner join
3. When using the algorithm method to replace missing values in data audit output, which algorithm is used?
A) Cox Regression
B) C5.0
C) Neural Net
D) C & RT
4. Which outlier treatment is not available in the Quality tab of the Data Audit output?
A) Nullify
B) Coerce
C) Discard
D) Recode
5. Once a model has been developed, it needs to be monitored to be determining when it needs to be replaced. Which of the following is not a reason for replacing the model?
A) Changes in marketing strategies by your firm.
B) New customer in database.
C) Changes in general economy.
D) New products and services sold by your firm.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |
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