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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Building | - Classification and regression models - Clustering techniques - Association and sequence analysis |
| Model Deployment | - Scoring models in SPSS Modeler - Deployment considerations and automation |
| Data Preparation | - Data cleaning and transformation in SPSS Modeler - Data integration and sampling techniques - Handling missing values and outliers |
| Model Evaluation | - Model performance metrics - Validation techniques (train/test split, cross-validation) |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. Which node allows you to choose from many different graph types (tar charts, attempts, hampers) in the single node?
A) Graphboard node
B) Collection node
C) Multiple node
D) Evaluation node
2. Which key items must be identified before a data mining project is started? (Select all that apply)
A) Available data
B) A business problem or question
C) Available expertise on the data and business
D) Data quality problem
3. After the binning node and Optimal binning on debt to income ratio Previously defaulted as the Supervisor field, we observe in matrix the following relationship between the behind field and previously defaulted.
This relationship exists because optimal binning attempts to create bins so the relationship between the Supervisor field and the banned field as maximized.
A) True
B) False
4. Which Model nodes can have a categorical target field? (Select all that apply)
A) Neutral Net node
B) C & R Tree node
C) Linear node
D) Discriminant node
5. Which of the following is the biggest advantage of using a data cache?
A) Integrating the modified data with the original data source
B) Applying modifications to new data more easily
C) Using the prepared data file more efficiently
D) Creating reports or doing other analyses with other software
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B,D | Question # 3 Answer: A | Question # 4 Answer: C,D | Question # 5 Answer: C |
