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Last Updated: Jul 21, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Building Predictive Models | 40% | - Neural networks - Decision trees - Regression models - Gradient boosting |
| Scoring and Deployment | 20% | - Model scoring - Model deployment |
| Model Assessment and Selection | 20% | - ROC and Lift curves - Model fit statistics - Model comparison |
| Data Preparation and Exploration | 20% | - Data exploration using SAS Visual Statistics - Importing data - Data quality |
1. Which SAS tool is most suitable for managing explorations and visualizations in a business intelligence context?
A) SAS Enterprise Miner
B) SAS Visual Data Builder
C) SAS Enterprise Guide
D) SAS Studio
2. What is the primary benefit of exporting score code for model deployment?
A) It allows for model performance assessment on a test dataset.
B) It enables scoring of new data without the need for SAS Visual Statistics.
C) It provides insights into the distribution of predictor variables.
D) It automatically generates new predictor variables.
3. 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 copying and pasting it into a text editor
C) By printing it directly from the SAS Visual Statistics interface
D) By exporting it as a standalone script file
4. You have a regression model effect that represents the total amount of sales. In addition to that, you would like to create a model effect that represents the average amount of sales.
Which option should you use?
A) Create an aggregated measure using the Sum aggregation of total amount of sales divided by the Sum aggregation of total amount of items sold.
B) Create a calculated item by duplicating the original model effect and changing its default aggregation to Average.
C) Create a calculated item that divides total amount of sales by the total amount of items sold.
D) Create an aggregated measure using the Avg aggregation on total amount of sales.
5. What is the primary purpose of specifying the link function in logistic regression?
A) To ensure that all predictor variables are used
B) To establish the relationship between the linear predictor and the probability of an event
C) To control the significance level of predictor variables
D) To determine the distribution of the response variable
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: B | Question # 3 Answer: B,D | Question # 4 Answer: B | Question # 5 Answer: B |
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