Learn with SASInstitute : A00-485 training material for 100% pass
Updated: Sep 05, 2026
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SASInstitute A00-485 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | Modeling Using SAS Visual Statistics |
| Exam Number: | A00-485 |
| Related Certifications: | SAS Certified Specialist: Visual Statistics using SAS Viya |
| Exam Price: | $180 USD (varies by region) |
| Available Languages: | English |
| Exam Format: | Scenario-based questions, Multiple choice |
| Real Exam Qty: | Approximately 60 |
| Passing Score: | Approximately 70% |
| Exam Duration: | 110 minutes |
| Certificate Validity Period: | Typically 3 years (varies by certification policy) |
| Recommended Training: | SAS Visual Statistics Training Courses |
| Exam Registration: | SAS Certification Portal |
| Sample Questions: | SASInstitute A00-485 Sample Questions |
| Exam Way: | Online proctored exam via SAS certification platform |
| Pre Condition: | No formal prerequisites required, but familiarity with SAS Viya and basic statistics is recommended |
| Official Syllabus URL: | https://www.sas.com |
SASInstitute A00-485 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Methods in Visual Statistics | - Decision trees and random forests concepts - Clustering techniques |
| Topic 2: Model Evaluation and Interpretation | - Assessing model performance - Interpreting model outputs and reports |
| Topic 3: Data Preparation and Exploration in SAS Viya | - Exploratory data analysis and visualization - Loading and preparing data for Visual Statistics |
| Topic 4: Predictive Modeling Fundamentals | - Model selection and comparison techniques - Regression modeling concepts
|
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
Question 1
Refer to the exhibit:
A cluster has been created with four variables selected on the roles tab.
Select the set of Parallel Coordinates Properties that would display the image in the exhibit.
A. 
B. 
C. 
D. 
Question 2
What is the purpose of deriving a cluster ID variable in cluster analysis?
A. To assign cluster labels to data points
B. To calculate the distance between clusters
C. To set parallel coordinate properties
D. To create a scatter plot of data points
Question 3
What is the primary purpose of scoring functionality in SAS Visual Statistics?
A. To assess the distribution of predictor variables
B. To evaluate model performance on a test dataset
C. To generate code for deploying models in production
D. To select the best model for a given dataset
Question 4
What does the Variable Importance feature help with when choosing the best fitting group-by model?
A. Identifying the most influential predictors
B. Assessing the significance of each predictor
C. Evaluating the multicollinearity among predictors
D. Understanding the distribution of the target variable
Question 5
What is unsupervised classification in the context of cluster analysis?
A. Assigning predefined labels to data points
B. Creating a scatter plot of data points
C. Grouping similar data points together without predefined labels
D. Using a decision tree for data classification
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: B,C | Question 4 Answer: A | Question 5 Answer: C |
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