SASInstitute A00-485 exam dumps : Modeling Using SAS Visual Statistics

  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Updated: Sep 02, 2026     Q & A: 190 Questions and Answers

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SASInstitute A00-485 Exam Syllabus Topics:

SectionObjectives
Topic 1: Model Evaluation and Interpretation- Interpreting model outputs and reports
- Assessing model performance
Topic 2: Machine Learning Methods in Visual Statistics- Clustering techniques
- Decision trees and random forests concepts
Topic 3: Data Preparation and Exploration in SAS Viya- Loading and preparing data for Visual Statistics
- Exploratory data analysis and visualization
Topic 4: Predictive Modeling Fundamentals- Model selection and comparison techniques
- Regression modeling concepts
  • 1. Logistic regression
    • 2. Linear regression

      SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

      Question 1

      Refer to the exhibit:

      A retailer wants to use a decision tree to select one segment to mail 35,000 coupons to existing customers for a new line of organic products.
      Assuming that customers who have purchased organic products in the past are likely to want new organic products in the future, select the single best Leaf ID for the mailing.

      A. 18
      B. 15
      C. 12
      D. 17


      Question 2

      Which model does not produce score code?

      A. Decision Tree using interactive mode
      B. Regression using the group by option
      C. Decision Tree using the rapid growth option
      D. Regression using interaction effects


      Question 3

      What is variable selection in SAS Visual Statistics used for in logistic regression modeling?

      A. To exclude all predictor variables
      B. To specify the distribution of the response variable
      C. To assign roles to variables
      D. To identify and choose relevant predictor variables


      Question 4

      During cluster creation, if the Variable Standardization option is selected, where in SAS Visual Statistics can you view the standardization formula?

      A. cluster matrix plot
      B. score code
      C. parallel coordinates plot
      D. cluster summary table


      Question 5

      When should you replace dirty data with missing values in SAS Visual Analytics?

      A. When you want to remove missing values
      B. When the data is incorrect or invalid
      C. When the data contains outliers
      D. When you want to create a new variable


      Solutions:

      Question 1
      Answer: A
      Question 2
      Answer: A
      Question 3
      Answer: D
      Question 4
      Answer: B
      Question 5
      Answer: B

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