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A00-485 Q&A - in .pdf
- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Updated: Nov 06, 2026
- Q & A: 190 Questions and Answers
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- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Updated: Nov 06, 2026
- Q & A: 190 Questions and Answers
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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Assessing Regression-type Models | 41% | - Perform generalized additive modeling - Perform linear regression modeling - Perform generalized linear regression modeling - Explain concepts of linear models - Assess model fit and diagnostics - Perform nonparametric logistic regression modeling |
| Topic 2: Building and Assessing Segmentation Models | 28% | - Perform supervised segmentation using decision trees - Analyze and interpret cluster results - Perform unsupervised segmentation using cluster analysis - Assess and interpret decision tree performance |
| Topic 3: Model Comparison and Scoring | 9% | - Compare multiple models using fit statistics - Apply models to score new data |
| Topic 4: SAS Visual Statistics Cross-functional Tasks | 22% | - Filter data used for a model - Perform model validation - Prepare data using SAS Visual Analytics - Use interactive group-by functionality |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
Question #1
Refer to the exhibit from a linear regression model in SAS Visual Statistics:
Based on the table above and assuming a significance level of 0.05, what can be concluded about the linear regression model?
- A. The Intercept is an important predictor of the response.
- B. For a 1371.5 unit decrease in Total Promos, there is an expected one-unit increase in the response.
- C. For one one-unit increase in Average Sales, there is an expected increase in the response of
4475.443. - D. Age is a significant predictor of the response.
Correct Answer: C 🗳️
Question #2
Your data contains a column for Country that contains 350 unique values. There are multiple entries for some countries (Japan, JPN, japan, etc.). You want a unique value for each country.
Which is the most efficient way to correct inconsistent values?
- A. Create a visualization filter to suppress the incorrect variations of a country.
- B. Create a calculated item using a Boolean IF...ELSE statement that changes the incorrect variations.
- C. Create a data source filter to suppress the incorrect variations of a country.
- D. Create a Custom Category that combines all the variations of a country into one.
Correct Answer: D 🗳️
Question #3
What does a Group-by Variable enable you to do in SAS Visual Statistics?
- A. Fit a model for every value of a measure's distribution.
- B. Use variable selection.
- C. Leverage informative missingness for measure and category variables.
- D. Fit a model for each data segment defined by one or more category variables.
Correct Answer: D 🗳️
Question #4
When interpreting a Misclassification plot in model comparison, what does it typically show?
- A. The distribution of the response variable
- B. The trade-off between false positives and false negatives at different thresholds
- C. The relationship between two predictor variables
- D. The performance of models in terms of AUC
Correct Answer: B 🗳️
Question #5
Which of the following tasks in SAS Visual Analytics involves reducing the granularity of categorical data?
- A. Transforming a variable
- B. Creating a dummy variable
- C. Imputing a variable
- D. Aggregating a measure
Correct Answer: D 🗳️
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