SASInstitute A00-485 Exam : Modeling Using SAS Visual Statistics

SASInstitute A00-485 exam
  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Updated: Oct 04, 2026
  • Q & A: 190 Questions and Answers
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SASInstitute A00-485 Exam Syllabus Topics:

SectionWeightObjectives
Building and Assessing Segmentation Models28%- Perform supervised segmentation using decision trees
- Assess and interpret decision tree performance
- Analyze and interpret cluster results
- Perform unsupervised segmentation using cluster analysis
Model Comparison and Scoring9%- Apply models to score new data
- Compare multiple models using fit statistics
Building and Assessing Regression-type Models41%- Assess model fit and diagnostics
- Perform generalized linear regression modeling
- Perform generalized additive modeling
- Explain concepts of linear models
- Perform nonparametric logistic regression modeling
- Perform linear regression modeling
SAS Visual Statistics Cross-functional Tasks22%- Use interactive group-by functionality
- Perform model validation
- Prepare data using SAS Visual Analytics
- Filter data used for a model

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question #1

When evaluating a Misclassification plot, what does it typically show?

  • A. The p-values associated with the predictor variables
  • B. The trade-off between false positives and false negatives at different thresholds
  • C. The relationship between two predictor variables
  • D. The distribution of predictor variables in the dataset
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event.
Which statement is true?

  • A. The other levels are offset to account for exposure.
  • B. An ordinal logistic regression is performed.
  • C. The other levels are grouped into one non-event.
  • D. A multinomial logistic regression is performed.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #3

What does adding an interaction effect in linear regression modeling allow you to capture?

  • A. The presence of outliers in the data
  • B. The joint impact of two or more predictors on the response variable
  • C. The effect of missing data on the model
  • D. The multicollinearity among predictors
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

What does a Group-by Variable enable you to do in SAS Visual Statistics?

  • A. Fit a model for each data segment defined by one or more category variables.
  • B. Use variable selection.
  • C. Leverage informative missingness for measure and category variables.
  • D. Fit a model for every value of a measure's distribution.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #5

In decision tree analysis, what is typically found on the y-axis of an icicle plot?

  • A. Impurity measures
  • B. Feature values
  • C. Class labels
  • D. Depth of the tree
Reveal Solution  Discussion  0

Correct Answer: B,C,D  🗳️

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