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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Building | - Clustering techniques - Classification and regression models - Association and sequence analysis |
| Topic 2: Model Evaluation | - Validation techniques (train/test split, cross-validation) - Model performance metrics |
| Topic 3: Data Preparation | - Handling missing values and outliers - Data cleaning and transformation in SPSS Modeler - Data integration and sampling techniques |
| Topic 4: Model Deployment | - Deployment considerations and automation - Scoring models in SPSS Modeler |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. Suppose you wanted to select only the records with complete data on all the fields for analysis and generate a Select node to perform that operation. Which other node should you use to generate the Select node?
A) Derive node
B) Data Audit node
C) Filter node
D) Filler node
2. In the Gains Chart displayed below, what does the $BEST-CHURNED line represent?
A) The best current model to predict the field CHURNED
B) The theoretically best model to predict the field CHUREND
C) None of the above
D) The best model for cases in the training partition to predict the field CHURNED
3. Which node allows you to choose from many different graph types (tar charts, attempts, hampers) in the single node?
A) Multiple node
B) Graphboard node
C) Evaluation node
D) Collection node
4. In Sequence modeling, specifying that IDs are contiguous has which effect?
A) Requires fewer observations to create a valid model.
B) Requires fewer fields to create the model
C) Improves the model Silhouette measure.
D) Speeds up the processing.
5. To score new data using an existing model, the user must:
A) Change the data source and rename the fields as needed to match the names of the 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 so they do not 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: B | Question # 2 Answer: D | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: D |
