SASInstitute A00-485 : Modeling Using SAS Visual Statistics

A00-485 pass collection

Exam Code: A00-485

Exam Name: Modeling Using SAS Visual Statistics

Updated: Oct 25, 2026

Q & A: 190 Questions and Answers

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About SASInstitute A00-485 Exam

Long before you sit the A00-485 exam, you can judge the quality yourself: ExamCost publishes a free demo of the SASInstitute Modeling Using SAS Visual Statistics material, so you can test 190 practice questions, the online engine, and the study strategy before committing.

SASInstitute A00-485 Exam Overview:

Certification Vendor:SAS Institute
Exam Name:Modeling Using SAS Visual Statistics
Exam Number:A00-485
Available Languages:English
Exam Format:Multiple choice, Short answer
Exam Duration:110 minutes
Real Exam Qty:55-60
Certificate Validity Period:5 years
Passing Score:68%
Exam Price:$120 USD
Recommended Training:SAS Visual Statistics in SAS Viya: Interactive Model Building
Official Exam Content Guide
Exam Registration:Pearson VUE Registration
SAS Certification Portal
Sample Questions:Free Download A00-485 exam cost
Exam Way:Online proctored or in-person at Pearson VUE authorized test centers
Pre Condition:No formal prerequisites; basic knowledge of statistics and SAS Viya interface recommended
Official Syllabus URL:https://www.sas.com/en_my/certification/credentials/bi-analytics/modeling-using-visual-statistics.html

SASInstitute A00-485 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: SAS Visual Statistics Cross-functional Tasks22%- Filter data used for a model
- Perform model validation
- Prepare data using SAS Visual Analytics
- Use interactive group-by functionality
Topic 2: Model Comparison and Scoring9%- Compare multiple models using fit statistics
- Apply models to score new data
Topic 3: Building and Assessing Segmentation Models28%- Perform supervised segmentation using decision trees
- Analyze and interpret cluster results
- Perform unsupervised segmentation using cluster analysis
- Assess and interpret decision tree performance
Topic 4: Building and Assessing Regression-type Models41%- Explain concepts of linear models
- Perform nonparametric logistic regression modeling
- Assess model fit and diagnostics
- Perform generalized linear regression modeling
- Perform linear regression modeling
- Perform generalized additive modeling

Common Questions from SASInstitute Modeling Using SAS Visual Statistics Candidates

SAS Visual Statistics in SAS Viya: Interactive Model Building: Visit official page

Official Exam Content Guide: Visit official page

No formal prerequisites; basic knowledge of statistics and SAS Viya interface recommended

The A00-485 exam contains 55-60 questions and lasts 110 minutes minutes, so pacing matters as much as knowledge. Practicing under a real timer on ExamCost helps you learn how long to spend on each item.

The SASInstitute Modeling Using SAS Visual Statistics material is written by a group of IT experts and certified trainers. Beyond assembling verified questions, they organize the bank into a study strategy for candidates, so you always know which section to tackle next instead of paging through questions at random.

The online engine recreates the atmosphere of the formal test, so the real A00-485 exam feels familiar rather than intimidating. It runs on Windows, Mac, Android, and iOS, places no limit on the number of installations, and lets you review at any time and from any location, which fits naturally around an IT worker's schedule.

The passing score of A00-485 is 68%, and the official exam fee is $120 USD. Knowing both numbers early helps you set a concrete target before you book the test.

This package includes 190 practice questions for the A00-485 exam. Every answer has been verified by our IT experts and certified trainers before release.

  • SAS Visual Statistics Cross-functional Tasks (22%)
  • Model Comparison and Scoring (9%)
  • Building and Assessing Regression-type Models (41%)

Study the sections in the order that matches your weakest areas first.

SAS Certification Portal: register for A00-485

Pearson VUE Registration: register for A00-485

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

Question #1

When performing a logistic regression in SAS Visual Statistics, the default prediction cutoff is .50. If you increase the cutoff to .80 then derive predicted values, which statement is the expected outcome?

  • A. The predicted events remain unchanged and the predicted probabilities increase.
  • B. The predicted events increase and the predicted probabilities remain unchanged.
  • C. The predicted events decrease and the predicted probabilities remain unchanged.
  • D. The predicted events remain unchanged and the predicted probabilities decrease.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

What is unsupervised classification in the context of cluster analysis?

  • A. Using a decision tree for data classification
  • B. Grouping similar data points together without predefined labels
  • C. Assigning predefined labels to data points
  • D. Creating a scatter plot of data points
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #3

Which SAS tool is suitable for creating complex data manipulation and transformation workflows in a visual interface?

  • A. SAS Enterprise Guide
  • B. SAS Visual Data Builder
  • C. SAS Studio
  • D. SAS Visual Analytics
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

How can you assign a group-by variable to a predictive model in SAS Visual Analytics?

  • A. Drag and drop the group-by variable into the predictor field of the model
  • B. Select the group-by variable from a dropdown menu in the model settings
  • C. Click on the group-by variable and choose "Assign as predictor" from the context menu
  • D. Specify the group-by variable in the data source properties
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

Question #5

Which equation does NOT represent a linear model? Note: bi are parameters and Xi are variables.

  • A. y = b0 + b1X1 + b2X2 + b3(X1X2)
  • B. y = b0 + b1X1 + b2X2
  • C. y = b0 + b1X1 + b2X1 3
  • D. y = b0 + b1X1 + (b2/b1)X2
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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