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SPSS IBMSPSSMPRO Exam Syllabus Topics:

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

SPSS IBM SPSS Modeler Professional Certification Sample Questions:

Which Model nodes can have a categorical target field? (Select all that apply)

  • A. C & R Tree node
  • B. Linear node
  • C. Discriminant node
  • D. Neutral Net node
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

The Distribution node produces which output? (Select all that apply)

  • A. Chart showing the distribution for a continuous field
  • B. Chart showing the count for each category of 3 field
  • C. Table displaying the percentage and count for each category of a field
  • D. Summary statistics for a continuous field
Reveal Solution  Discussion  0

Correct Answer: A,C  🗳️

Examine the Matrix table shown below which relates the field churn (whether a customer will churn) to age cat (age groups).

Based on the table, which statements are accurate? (Select all that apply)

  • A. 1.768% of those that churn are over 65 years of age.
  • B. 42.283% of the 18-24 year old will churn.
  • C. Measured by Chi-square is a weak relationship.
  • D. Older age groups are less likely to churn than the younger ages.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

What is the function of the Ensemble node?

  • A. Transferring the existing values to improve accuracy
  • B. Combining models together to produce higher accuracy
  • C. None of the above
  • D. The development of additional fields to improve accuracy
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Consider the output from the analysis node.

For the training data set, the Neutral Net and the C5 model make the same prediction:

  • A. 93.80% of the time
  • B. 87.79% of the time.
  • C. 92.77% of the time
  • D. 87.62% of the time
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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