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Updated: Jul 31, 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
Real Exam Qty:60
Passing Score:68
Related Certifications:SAS Certified Specialist in Visual Analytics
SAS Certified Associate in Applied Statistics
Exam Format:Multiple Choice, Short Answer, Interactive
Exam Duration:110 minutes
Exam Price:USD 180
Available Languages:English
Sample Questions:SASInstitute A00-485 Sample Questions
Exam Way:Proctored exam at a SAS testing center or through OnVUE online proctoring.
Official Syllabus URL:https://www.sas.com/en_us/certification.html

SASInstitute A00-485 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Preparation and Exploration20%- Data exploration using SAS Visual Statistics
- Importing data
- Data quality
Topic 2: Building Predictive Models40%- Gradient boosting
- Decision trees
- Regression models
- Neural networks
Topic 3: Model Assessment and Selection20%- Model fit statistics
- Model comparison
- ROC and Lift curves
Topic 4: Scoring and Deployment20%- Model deployment
- Model scoring

SASInstitute Modeling Using SAS Visual Statistics Sample Questions:

1. Refer to the exhibit:

Which option was not specified in creating the linear regression model using SAS Visual Statistics?

A) continuous effects
B) variable selection
C) interaction term
D) group-by variable


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 create a scatter plot of data points
D) To set parallel coordinate properties


3. In group-by modeling, when is the p-value for the group-by variable considered significant?

A) When the p-value is exactly 0.05
B) When the p-value is greater than 0.05
C) When the p-value is less than 0.01
D) When the p-value is less than 0.05


4. Assuming the event level is the same for both models, which pair of models can be compared?

A)

B)

C)

D)


5. Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?

A) A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit.
B) Specification of a spline effect is optional.
C) GAM assumes a strict linear relationship between the predictors and the response function.
D) The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: C,D
Question # 4
Answer: B
Question # 5
Answer: D

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