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SPSS IBMSPSSMPRO Exam Syllabus Topics:

SectionWeightObjectives
Deployment- Implement analytical solutions
  • 1. Score new data
  • 2. Generate and communicate results
  • 3. Deploy models into business processes
Data Preparation- Prepare data for modeling
  • 1. Import and export data
  • 2. Derive and reclassify fields
  • 3. Aggregate and restructure records
  • 4. Transform and bin variables
  • 5. Merge and append datasets
  • 6. Sample and filter data
Business Understanding and Planning10%- Business objectives
  • 1. Apply CRISP-DM methodology
  • 2. Define business problems
  • 3. Plan analytical projects
Data Understanding- Explore and assess data
  • 1. Audit data quality
  • 2. Identify field types and measurement levels
  • 3. Detect missing or invalid values
Evaluation- Assess model performance
  • 1. Validate predictive accuracy
  • 2. Interpret evaluation metrics
  • 3. Compare candidate models
Modeling- Build predictive models
  • 1. Decision tree models
  • 2. Clustering and segmentation
  • 3. Association and sequence models
  • 4. Regression models
  • 5. Neural network models

SPSS IBM SPSS Modeler Professional Certification Sample Questions:

Which nodes can be used to replace missing data with valid values? [Select all that apply.)

  • A. Data Audit node
  • B. Filter node
  • C. Distribution node
  • D. Filler node
Answer: A,B,D

Which key items must be identified before a data mining project is started? (Select all that apply)

  • A. A business problem or question
  • B. Data quality problem
  • C. Available data
  • D. Available expertise on the data and business
Answer: A,B

Which method is not available for imputing missing values in Data Audit output?

  • A. Expression
  • B. Multiple
  • C. Random
  • D. Fixed
Answer: B

The Anomaly node is on which parameter or menu group?

  • A. Modeling
  • B. Field Ops
  • C. Output
  • D. Record Ops
Answer: A

In Sequence modeling, specifying that IDs are contiguous has which effect?

  • A. Improves the model Silhouette measure.
  • B. Requires fewer fields to create the model
  • C. Speeds up the processing
  • D. Requires fewer observations to create a valid model.
Answer: C

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