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IBM C2020-010 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation and Deployment | - Model comparison and selection - Model validation and performance evaluation - Deployment of predictive models |
| Model Building Techniques | - Association and sequence modeling - Classification and regression models - Clustering and segmentation methods |
| Data Preparation and Transformation | - Field derivation and manipulation techniques - Data cleaning and handling missing values - Data transformation and feature engineering |
| SPSS Modeler Fundamentals | - Introduction to IBM SPSS Modeler environment - Data stream and project structure - Data import and preparation basics |
| Advanced SPSS Modeler Features | - Automated modeling (Auto Classifier, Auto Numeric) - Integration with IBM analytics ecosystem - Stream optimization and performance tuning |
IBM SPSS Modeler Professional v2 Sample Questions:
1. Examine the output generated by the K-Means clustering model.
Study the results of the Distribution node relating the clusters created by K-Means to the outcome (dependent) field current customers; Vol = customers that left; In Vol = customers that were dropped because they did not pay).
A) Create a"Pay as You Go"plan (pay only for the minutes you use).
B) Improve the international calling plan and rates.
C) Improve the local calling plan and rates.
D) Improve the long distance calling plan and rates.
2. Which Model nodes can have a categorical target field? (Choose three.)
A) Neural Net node
B) Discriminant node
C) C&R Tree node
D) Linear node
3. Which outlier treatment is not available in the Quality tab of the Data Audit output?
A) Recode
B) Coerce
C) Discard
D) Nullify
4. Which nodes are best suited for revealing relationships between categorical (nominal, ordinal) fields? (Choose two.)
A) Table node
B) Means node
C) Distribution node
D) Matrix node
5. Summary statistics, such as mean, minimum, maximum, and standard deviation, are available in which of the following nodes? (Choose two.)
A) Table node
B) Sample node
C) Data Audit node
D) Statistics node
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B,C | Question # 3 Answer: A | Question # 4 Answer: C,D | Question # 5 Answer: C,D |
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