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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Predictive Models | 40% | - Regression models - Gradient boosting - Decision trees - Neural networks |
| Topic 2: Model Assessment and Selection | 20% | - Model fit statistics - ROC and Lift curves - Model comparison |
| Topic 3: Scoring and Deployment | 20% | - Model deployment - Model scoring |
| Topic 4: Data Preparation and Exploration | 20% | - Importing data - Data exploration using SAS Visual Statistics - Data quality |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
Question 1
What does it mean to prune a decision tree?
A. To increase the depth of the tree to improve accuracy
B. To convert the decision tree into a random forest model
C. To remove all leaf nodes and keep only the root node
D. To trim branches of the tree to reduce complexity and overfitting
Question 2
When interpreting an Influence plot, what does it typically show?
A. The distribution of residuals in the model
B. The effect of each predictor variable on the response
C. The relationship between the response variable and the intercept term
D. The interaction between two predictor variables
Question 3
In cluster analysis, what does the term "centroid" refer to?
A. The minimum distance between two clusters
B. The total number of data points in a cluster
C. The number of variables used in the analysis
D. The center point of a cluster in the feature space
Question 4
An analyst wants to limit data to a certain demographic and build a decision tree model.
Which approach should the analyst take?
A. Create an SQL query from the filters tab.
B. Create a new ranks variable on age and sort descending on that variable.
C. Create a new data hierarchy.
D. Create a report filter.
Question 5
How can predicted values be derived and described in terms of predicted probabilities in SAS Visual Statistics?
A. By summing the residuals of the model
B. By fitting a linear regression model to the data
C. By calculating the mean of the predictor variables
D. By applying the link function to the linear predictor
Solutions:
| Question 1 Answer: D | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: D | Question 5 Answer: D |
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