Modeling Using SAS Visual Statistics: A00-485 Exam

"Modeling Using SAS Visual Statistics", also known as A00-485 exam, is a SASInstitute Certification. With the complete collection of questions and answers, PrepAwayPDF has assembled to take you through 190 Q&As to your A00-485 Exam preparation. In the A00-485 exam resources, you will cover every field and category in SASInstitute Certification Certification helping to ready you for your successful SASInstitute Certification.

  • Exam Code: A00-485
  • Exam Name: Modeling Using SAS Visual Statistics
  • Certification Provider: SASInstitute
  • Corresponding Certification: SASInstitute Certification
  • Updated: Sep 12, 2026
  • No. of Questions: 190 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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SASInstitute A00-485 Exam Syllabus Topics:

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

      SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

      In the context of linear regression, what does the term "linearity" refer to?

      • A. The use of polynomial functions for modeling
      • B. The requirement for variables to be categorical
      • C. The use of a straight line to model relationships
      • D. The absence of any relationship between variables
      Answer: C

      Interactions can be created and added to a linear regression model.
      Which statement is true about interactions?

      • A. An interaction can be created for a squared category variable.
      • B. Each interaction is limited to 3 effects or fewer.
      • C. The maximum number of interactions allowed in a model is 3.
      • D. Measures and categories can be combined to create an interaction.
      Answer: D

      Why are decision trees a useful technique for segmentation?

      • A. Trees split the response into homogeneous groups, while maximizing the difference in the response of the groups.
      • B. Trees split the response into heterogeneous groups, while minimizing the difference in the response of the groups.
      • C. Trees split data into smaller cells which are decreasingly "pure".
      • D. Trees treat each split cell dependently based on earlier split decisions.
      Answer: A

      When exporting score code, what information is typically included in the code?

      • A. The distribution of the response variable
      • B. The model parameters and coefficients
      • C. The entire training dataset
      • D. Instructions for preprocessing new data
      Answer: B,D

      In SAS Visual Analytics, what can you use to choose the best fitting group-by model?

      • A. Visualization of model residuals
      • B. Fit statistics such as AIC and BIC
      • C. Group-by variable with the highest p-value
      • D. Variable Importance
      Answer: B,D

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