What is SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification?
- Palak Mazumdar
- Sep 25, 2018
- 4 min read

SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 certification questions and exam summary helps you to get focused on the exam. This guide also helps you to be on A00-272 exam track to get certified with good score in the final exam.
Designed for analysts who are using SAS Visual Statistics for exploratory and predictive modeling, model fitting and analysis in a business environment.
Successful candidates should be skilled in topics such as,
Building and exploring descriptive models
Building and exploring predictive models with continuous and categorical targets
Assessing model goodness of fit
Modifying and comparing models
Scoring models
A00-272 - SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification Summary
Exam Name: SAS Certified Visual Modeler Using SAS Visual Statistics 7.4
Exam Code: A00-272
Exam Duration: 90 minutes
Exam Questions: 50 Multiple choices questions
Passing Score: 68%
Exam Price: $180 (USD)
Exam Registration: Pearson VUE
Sample Questions: SAS Advanced Analytics Professional Certification Sample Question
Practice Exam: SAS Advanced Analytics Professional Certification Practice Exam
A00-272 SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification Questions:
Q 1: Which equation does NOT represent a linear model?
Note: bi are parameters and Xi are variables.
Options:
A: y = b0 + b1X1 + b2X2
B: y = b0 + b1X1 + b2X2 + b3(X1X2)
C: y = b0 + b1X1 + (b2/b1)X2
D: y = b0 + b1X1 + b2X1
Q 2: You perform a logistic regression on a multinomial response variable in SAS Visual Statistics that has 3 levels: Small, Medium, Large. "Large" is specified as the event. Which statement is true?
Options:
A: The other levels are grouped into one non-event. B: An ordinal logistic regression is performed. C: A multinomial logistic regression is performed. D: The other levels are offset to account for exposure.
Q 3: You would like to compare multiple models that you've built in SAS Visual Statistics. Which parameters must be the same for all models being compared? (choose 3)
Options:
A: Data Source B: Assessment Bins C: Model Type D: Event Level E. Response Variable F. Link Function
Q 4: Which model does not produce score code?
Options:
A: Decision Tree using interactive mode B: Regression using interaction effects C: Regression using the group by option D: Decision Tree using the rapid growth option
Q 5: Your company has a dataset loaded into LASR that represents global sales. You are a part of a team of analysts that each have responsibility for a certain region of the world. You decide to create a data source filter to suppress every region but yours. What effect will this have on any new explorations that your teammates create?
Options:
A: It will delete all observations that do not match your region. B: It will have no effect on any observations in the dataset. C: It will suppress all observations that do not match your region. D: It will suppress all observations that do not match their corresponding region.
Q 6: You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales. Which option should you use?
Options:
A: Create an aggregated measure using the Avg aggregation on total amount of sales. B: Create a calculated item that divides total amount of sales by the total amount of items sold. C: Create a calculated item by duplicating the original model effect and changing its default aggregation to Average. D: Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.
Answers:
Question: 1 Answer: C
Question: 2 Answer: A
Question: 3 Answer: A, D, E
Question: 4 Answer: A
Question: 5 Answer: B
Question: 6 Answer: C
SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification A00-272 Exam Syllabus:
SAS visual statistics cross-functional tasks [18%] - Prepare data using SAS Visual Analytics - Filter data used for a model - Use interactive group-by
Building and assessing segmentation models [32%] - Perform unsupervised segmentation using cluster analysis - Analyze cluster results - Perform supervised segmentation using decision trees - Asses decision tree results
Building and assessing regression-type models [40%] - Explain linear models - Perform linear regression modeling - Perform generalized linear regression modeling - Perform logistic regression modeling - Assess model results
Model comparison and scoring [10%] - Compare Models - Score Models
How to Register for SAS Certified Visual Modeler Using SAS Visual Statistics 7.4 Certification Exam?
Exam Registration:
New User (Has never taken a SAS exam before):
First-time users must create a new web account within Pearson VUE before registering for a SAS exam.
It can take up to two business days to receive your username and password, which you will need for exam registration.
Returning Candidate (Has taken or registered to take a SAS exam(s) at Pearson VUE before BUT has never logged into SAS Certification Manager):
If you already have a Pearson VUE account but have forgotten your sign-in information, follow the links on the Pearson VUE site to retrieve this information.
Returning Candidate (Has taken SAS exam(s) and has logged in to SAS Certification Manager before):
Exam registrations must be completed at least 24 hours in advance and cannot be completed at the test facility.
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