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IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Modeling Techniques | - Supervised learning algorithms - Unsupervised learning algorithms - Model evaluation and deployment |
| Topic 2: IBM SPSS Modeler Overview | - Explain data mining concepts and CRISP-DM methodology - Understand SPSS Modeler architecture and components |
| Topic 3: Model Deployment and Administration | - Managing model results and scoring processes - Deploying predictive models |
| Topic 4: IBM SPSS Modeler Functionality | - Automation and scripting capabilities - Streams and stream management - Using modeling, output, and utility nodes |
| Topic 5: Data Preparation | - Importing and accessing data sources - Using nodes for data preparation workflows - Data cleansing, transformation, and manipulation |
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) Selects the best input fields for model.
D) Screens input fields for problems such as missing data.
2. Generally speaking, to modify values in columns of a working data file, you would use nodes from which palette or menu group?
A) Export
B) Sources
C) Field Ops
D) Record Ops
3. In the Two Step node shown below, what does Standardize numeric fields mean?
A) Limit the number of created clusters.
B) Transform the numeric fields to a scale with a mean of zero and a variance of one.
C) Eliminate outliers to improve results.
D) Use only the numeric fields that have the same scale.
4. Which outlier treatment is not available in the Quality tab of the Data Audit output?
A) Nullify
B) Discard
C) Recode
D) Coerce
5. 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 develop a new model for that data.
C) Change the data source and rename the fields as needed to match the names of the fields in original file.
D) Not change the data source and develop a new model for that data.
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: C |
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