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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Building | - Classification and regression models - Clustering techniques - Association and sequence analysis |
| Topic 2: Model Deployment | - Scoring models in SPSS Modeler - Deployment considerations and automation |
| Topic 3: Model Evaluation | - Model performance metrics - Validation techniques (train/test split, cross-validation) |
| Topic 4: Data Preparation | - Data cleaning and transformation in SPSS Modeler - Handling missing values and outliers - Data integration and sampling techniques |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
Question 1
What is the reason that the three nodes in the following figure have been colored purple?
A. IBM SPSS Modeler is running out of memory.
B. The purple nodes were pushed back to the database.
C. There are multiple type nodes in a row.
D. The purple nodes will be executed later.
Question 2
Which outlier treatment is not available in the Quality tab of the Data Audit output?
A. Nullify
B. Discard
C. Coerce
D. Recode
Question 3
Which Model nodes can have a categorical target field? (Select all that apply)
A. Neutral Net node
B. C & R Tree node
C. Discriminant node
D. Linear node
Question 4
Summary statistics, such as mean, minimum, maximum, and standard deviation, are available in which of following nodes? (Select all that apply)
A. Sample node
B. Table node
C. Statistics node
D. Data Audit node
Question 5
Using the Linear node, what are the advantages of creating a standard model without boosting or bagging? (Select all that apply)
A. Higher accuracy
B. Faster to score
C. Easier interpretation
D. None of the above
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: C,D | Question 4 Answer: A,B,C,D | Question 5 Answer: A,B |
