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IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Modeling Techniques | - Unsupervised learning algorithms - Model evaluation and deployment - Supervised learning algorithms |
| 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 - Data cleansing, transformation, and manipulation - Importing and accessing data sources |
| IBM SPSS Modeler Functionality | - Streams and stream management - Automation and scripting capabilities - Using modeling, output, and utility nodes |
| Model Deployment and Administration | - Managing model results and scoring processes - Deploying predictive models |
IBM SPSS Modeler Professional v2 Sample Questions:
In the Logistic node, can a Multinominal Mode/ option be used when the target is a flag field?
- A. No
- B. Yes
Correct Answer: B 🗳️
Which outlier treatment is not available in the Quality tab of the Data Audit output?
- A. Nullify
- B. Coerce
- C. Recode
- D. Discard
Correct Answer: C 🗳️
Which stage of the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology is the most time consuming?
- A. Data Preparation
- B. Evaluation
- C. Business Understanding
- D. Modeling
Correct Answer: A 🗳️
Which node allows you to choose from many different graph types (bar charts, pie charts, scatterplots, heatmaps, etc.) in one single node?
- A. Graphboard node
- B. Multiplot node
- C. Collection node
- D. Evaluation node
Correct Answer: A 🗳️
The Anomaly node is on which palette or menu group?
- A. Field Ops
- B. Record Ops
- C. Output
- D. Modeling
Correct Answer: D 🗳️




