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SASInstitute Modeling Using SAS Visual Statistics : A00-485

A00-485 Exam Simulator
  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Updated: Oct 07, 2026
  • Q & A: 190 Questions and Answers
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SASInstitute A00-485 exam simulator

SASInstitute A00-485 Exam Syllabus Topics:

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

      SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

      Question #1

      In the below linear regression results display, where would you click to access the parameter estimates?

      Reveal Solution  Discussion  0

      Correct Answer:

      Question #2

      You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.
      Which model within SAS Visual Statistics would you use?

      • A. logistic regression model using the Logit link function
      • B. logistic regression model using the Probit link function
      • C. generalized linear model using the binomial distribution and the log link function
      • D. logistic regression model using the Tobit link function
      Reveal Solution  Discussion  0

      Correct Answer: A  🗳️

      Question #3

      What can be interpreted from the Summary Table for model comparison, including statistics and variable importance?

      • A. Model performance metrics and their relative importance
      • B. The correlation matrix of predictor variables
      • C. The distribution of predictor variables
      • D. The number of iterations performed by each model
      Reveal Solution  Discussion  0

      Correct Answer: A  🗳️

      Question #4

      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 calculated item using a Boolean IF...ELSE statement that changes the incorrect variations.
      • B. Create a data source filter to suppress the incorrect variations of a country.
      • C. Create a Custom Category that combines all the variations of a country into one.
      • D. Create a visualization filter to suppress the incorrect variations of a country.
      Reveal Solution  Discussion  0

      Correct Answer: C  🗳️

      Question #5

      You would like to build a cluster analysis using several variables related to demographics. You noticed that the variable Inferred HH Education is a nominal variable with values of "High School Grad",
      "College Grad", etc.
      Which action allows you to incorporate this variable in the cluster analysis without returning a warning?

      • A.
      • B.
      • C.
      • D.
      Reveal Solution  Discussion  0

      Correct Answer: D  🗳️

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