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IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Modeling Techniques | - Model evaluation and deployment - Supervised learning algorithms - Unsupervised learning algorithms |
| Model Deployment and Administration | - Managing model results and scoring processes - Deploying predictive models |
| IBM SPSS Modeler Overview | - Explain data mining concepts and CRISP-DM methodology - Understand SPSS Modeler architecture and components |
| Data Preparation | - Using nodes for data preparation workflows - Importing and accessing data sources - Data cleansing, transformation, and manipulation |
| IBM SPSS Modeler Functionality | - Using modeling, output, and utility nodes - Automation and scripting capabilities - Streams and stream management |
IBM SPSS Modeler Professional v2 Sample Questions:
1. The Feature Selection node is used for what reasons? (Choose two.)
A) Selects the best fitting model.
B) Ranks the models by importance.
C) Screens input fields for problems such as missing data.
D) Selects the best input fields for model.
2. Which Source node would you use to read text from a free-field (delimited) text file?
A) Enterprise View node
B) Fixed File node
C) Var. File node
D) Data Collection node
3. 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.
4. Generally speaking, to modify values in columns of a working data file, you would use nodes from which palette or menu group?
A) Sources
B) Export
C) Field Ops
D) Record Ops
5. In Sequence modeling, specifying that IDs are contiguous has which effect?
A) Requires fewer observations to create a valid model.
B) Improves the model Silhouette measure.
C) Requires fewer fields to create the model.
D) Speeds up the processing.
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |






