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SASInstitute A00-485 valid - in .pdf
- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Q & A: 190 Questions and Answers
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- Exam Code: A00-485
- Exam Name: Modeling Using SAS Visual Statistics
- Q & A: 190 Questions and Answers
- Software Price: $59.99
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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Predictive Models | 40% | - Decision trees - Neural networks - Regression models - Gradient boosting |
| Topic 2: Data Preparation and Exploration | 20% | - Data exploration using SAS Visual Statistics - Importing data - Data quality |
| Topic 3: Scoring and Deployment | 20% | - Model deployment - Model scoring |
| Topic 4: Model Assessment and Selection | 20% | - Model comparison - ROC and Lift curves - Model fit statistics |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
Question #1
You want to build a model that predicts whether a customer will default on a loan assuming an underlying binomial distribution.
Which model within SAS Visual Statistics would you use?
- A. generalized linear model using the binomial distribution and the log link function
- B. logistic regression model using the Logit link function
- C. logistic regression model using the Probit link function
- D. logistic regression model using the Tobit link function
Correct Answer: B 🗳️
Question #2
Prior to fitting a regression model, data binning of a continuous effect should be used for what purpose?
- A. Improve the accuracy of your predictions.
- B. Gain information due to discretization.
- C. Reduce the impact of minor observation errors.
- D. Reduce the cardinality of a continuous effect.
Correct Answer: C 🗳️
Question #3
How is a multinomial response variable used in SAS Visual Statistics when building a logistic regression model?
- A. It is not used in logistic regression modeling.
- B. It is used to define the outcome categories.
- C. It is used as an event variable.
- D. It is used as a predictor variable.
Correct Answer: B 🗳️
Question #4
Refer to the exhibit:
Using the lift chart above to evaluate a decision tree model where the event level is Purchase, what is the expected performance of the model for the best 20% of cases predicted?
- A. About 1.5 times better than a random sample of the same size
- B. About 4 times better than a random sample of the same size
- C. About 1.1 times better than a random sample of the same size
- D. About 1.25 times better than a random sample of the same size
Correct Answer: A 🗳️
Question #5
How can you export score code generated by SAS Visual Statistics for a trained model?
- A. By exporting it as a PDF document
- B. By printing it directly from the SAS Visual Statistics interface
- C. By exporting it as a standalone script file
- D. By copying and pasting it into a text editor
Correct Answer: C,D 🗳️
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