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SAS A00-274 Exam Summary:-
- Name of the Exam: SAS Certified Visual Modeling Using SAS Visual Statistics 8.4
- Exam Code: A00-274
- Exam Price: $180 (USD)
- Duration: 105 minutes
- Number of Questions: 58
- Passing Score: 68%
SAS A00-274 Exam Topics:-
- SAS® Visual Statistics Cross-functional Tasks – 18%
- Building and Assessing Segmentation Models – 32%
- Building and Assessing Regression-type Models – 40%
- Model Comparison and Scoring – 10%
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Get access to some of the sample A00-274 practice test questions to boost your knowledge base. Preparation is a steady process for some time, and you must always try to keep improving via learning. Access the questions from anywhere and from any device. The easy access to the questions would help you to get better with the A00-274 exam topics. You can solve these questions easily or learn new things from them.
Here Are Some Useful Questions:
01. Which model does not produce score code?
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
02. Which statement is TRUE regarding a generalized additive model (GAM) in SAS Visual Analytics?
a) GAM assumes a strict linear relationship between the predictors and the response function.
b) The roughness penalty controls the balance between goodness of fit and the roughness of the spline curve.
c) Specification of a spline effect is optional.
d) A larger maximum degrees of freedom for the univariate spline term enforces a less complex fit.
03 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?
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.
04. 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?
a) Data Source
b) Assessment Bins
c) Model Type
d) Event Level
e) Response Variable
f) Link Function
Answer: a, d, e
05. Which equation does NOT represent a linear model?
Note: bi are parameters and Xi are variables.
a) y = b0 + b1X1 + b2X2
b) y = b0 + b1X1 + b2X2 + b3(X1X2)
c) y = b0 + b1X1 + (b2/b1)X2
d) y = b0 + b1X1 + b2X1 3
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