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SPSS IBMSPSSMPRO Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Model Evaluation | - Validation techniques (train/test split, cross-validation) - Model performance metrics |
| Data Preparation | - Data cleaning and transformation in SPSS Modeler - Handling missing values and outliers - Data integration and sampling techniques |
| Model Deployment | - Deployment considerations and automation - Scoring models in SPSS Modeler |
| Model Building | - Association and sequence analysis - Clustering techniques - Classification and regression models |
SPSS IBM SPSS Modeler Professional Certification Sample Questions:
1. In two step node shown below, what does standardize numeric fields mean?
A) Transform the numeric fields to a scale with a mean of zero and variance of one.
B) Limit the number of created clusters.
C) Use only the numeric fields scale.
D) Eliminate outliers to improve results.
2. In Sequence modeling, specifying that IDs are contiguous has which effect?
A) Speeds up the processing.
B) Requires fewer observations to create a valid model.
C) Improves the model Silhouette measure.
D) Requires fewer fields to create the model
3. In IBM SPSS Modeler modeling nodes, the option to build split models refers to building a separate model for each possible value of input fields that are defined as split role.
A) True
B) False
4. Which values are available as Field Roles? (Select all that apply)
A) Partition
B) Normal
C) Input
D) Target
5. Which of the following is the biggest advantage of using a data cache?
A) Creating reports or doing other analyses with other software
B) Using the prepared data file more efficiently
C) Integrating the modified data with the original data source
D) Applying modifications to new data more easily
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: C,D | Question # 5 Answer: B |






