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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
| SAS Visual Statistics Cross-functional Tasks | 22% | - Perform model validation
- Filter data used for a model
- Use interactive group-by functionality
- Prepare data using SAS Visual Analytics
|
| Model Comparison and Scoring | 9% | - Compare multiple models using fit statistics
- Apply models to score new data
|
| Building and Assessing Segmentation Models | 28% | - Analyze and interpret cluster results
- Perform supervised segmentation using decision trees
- Assess and interpret decision tree performance
- Perform unsupervised segmentation using cluster analysis
|
| Building and Assessing Regression-type Models | 41% | - Perform linear regression modeling
- Explain concepts of linear models
- Perform nonparametric logistic regression modeling
- Perform generalized additive modeling
- Perform generalized linear regression modeling
- Assess model fit and diagnostics
|
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. Your data contains a column for Country that contains 350 unique values. There are multiple entries for some countries (Japan, JPN, japan, etc.). You want a unique value for each country.
Which is the most efficient way to correct inconsistent values?
A) Create a Custom Category that combines all the variations of a country into one.
B) Create a visualization filter to suppress the incorrect variations of a country.
C) Create a data source filter to suppress the incorrect variations of a country.
D) Create a calculated item using a Boolean IF...ELSE statement that changes the incorrect variations.
2. Which statement is correct about using a multinomial response variable (with 3 or more levels) in the logistic regression task in SAS Visual Statistics?
A) The resulting model is an ordinal logistic regression model with the lowest level of the response as the reference.
B) The resulting model is a multinomial logistic regression model with a generalized logit link.
C) The resulting model is a binary logistic regression model with a selected level as the event.
D) You cannot assign a response variable with 3 or more levels to the logistic regression visualization.
3. The Leaf size property within a decision tree is changed from 5 to 10 and no other stopping rules were met.
How will the tree change?
A) The tree will be harder to interpret.
B) The tree will be more complex.
C) The tree will train more slowly.
D) The tree will be simpler.
4. Refer to the following exhibit:

After creating a decision tree in SAS Visual Statistics, what is the value in deriving a Leaf ID Variable?
A) Use the leaf ID to identify the most important variables.
B) Use the leaf ID to rank order by posterior probabilities.
C) Use the leaf ID data item in filters in other types of visualizations.
D) Use the leaf ID to identify clusters.
5. In SAS Visual Analytics, which tool is commonly used to transform variables using functions like logarithm or square root?
A) SAS Visual Data Builder
B) SAS Enterprise Guide
C) SAS Enterprise Miner
D) SAS Studio
Solutions:
Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: A |