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IBM C2020-010 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Administration and Troubleshooting | 10% | - Process Engine logs and diagnostics
- Performance tuning and monitoring
|
| Topic 2: Evaluation and Deployment | 15% | - Export and score new data
- Model evaluation and comparison
- Monitoring deployed models
|
| Topic 3: Business and Data Understanding | 20% | - Data visualization and distribution analysis
- CRISP-DM methodology and business objectives
- Data sources and import using Source nodes
|
| Topic 4: Data Preparation | 30% | - Merge, Append, and Field operations
- Type node and data coercion
- Data cleaning and transformation
- Sampling, balancing, and dimensionality reduction
|
| Topic 5: Modeling | 25% | - SQL pushback and performance optimization
- Supervised and unsupervised learning methods
- Model types and Auto Modeling nodes
|
IBM SPSS Modeler Professional v2 Sample Questions:
1. Which node allows you to choose from many different graph types (bar charts, pie charts, scatterplots, heatmaps, etc.) in one single node?
A) Multiplot node
B) Graphboard node
C) Collection node
D) Evaluation node
2. After using the Binning node and Optimal binning method on Debt to income ratio using Previously defaulted as the Supervisor Field. we observe in the Matrix table the following relationship between the binned field and Previously defaulted.

True or false: this relationship exists because optimal binning attempts to create bins so the relationship between the Supervisor field and the Binned field is maximized.
A) True
B) False
3. In the Gains Chart displayed below, what does the $BEST-CHURNED line represent?

A) The theoretically best model to predict the field CHURNED
B) The best current model to predict the field CHURNED
C) The best model for cases in the training partition to predict the field CHURNED
D) None of the above
4. Which node is best suited for revealing relationships between continuous and categorical (nominal, ordinal) fields?
A) Distribution node
B) Statistics node
C) Means node
D) Table node
5. In Sequence modeling, specifying that IDs are contiguous has which effect?
A) Requires fewer fields to create the model.
B) Improves the model Silhouette measure.
C) Requires fewer observations to create a valid model.
D) Speeds up the processing.
Solutions:
Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: C | Question # 5 Answer: D |