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SASInstitute A00-485 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Predictive Models | 40% | - Decision trees - Gradient boosting - Regression models - Neural networks |
| Topic 2: Scoring and Deployment | 20% | - Model deployment - Model scoring |
| Topic 3: Data Preparation and Exploration | 20% | - Importing data - Data quality - Data exploration using SAS Visual Statistics |
| Topic 4: Model Assessment and Selection | 20% | - Model fit statistics - ROC and Lift curves - Model comparison |
SASInstitute Modeling Using SAS Visual Statistics Sample Questions:
1. Refer to the exhibits:
An analyst has created a cluster model based on the settings in Exhibit 1 and chose to derive a cluster ID variable.
Why are there 6 cluster IDs in Exhibit 2 based on these settings?
A) There are observations with missing values.
B) Parallel Coordinates Visible Roles setting is 6.
C) Variable Standardization has been chosen.
D) Cluster Diagram Visible Roles setting is 6.
2. When performing linear regression modeling, what is the primary goal of assessing multicollinearity among predictors?
A) To detect non-linear relationships
B) To identify influential outliers
C) To calculate the coefficient of determination (R-squared)
D) To ensure that predictor variables are not highly correlated
3. In model assessment, why might you need to assess residuals and other model diagnostics to choose an appropriate distribution and link function?
A) To calculate the p-values of predictor variables
B) To determine the order of predictor variables in the model
C) To verify if the chosen model assumptions are met and make adjustments if necessary
D) To ensure that predictor variables are not highly correlated
4. You have a Partition column in your data that takes on values of 0, 1, and 2.
What happens, by default, if you define a Partition data item from this variable?
A) Observations with a value of 2 will be used as Training data.
B) No partition will be used because there are more than two levels.
C) Observations with a value of 0 will be used as Training data.
D) Observations with a value of 1 will be used as Training data.
5. When building a Generalized Linear Model in SAS Visual Statistics, which link function is available?
A) Negative Binomial
B) Poisson
C) Gaussian
D) Log
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
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