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Last Updated: Aug 24, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Preparation and Exploration | 20% | - Importing data - Data quality - Data exploration using SAS Visual Statistics |
| Topic 2: Model Assessment and Selection | 20% | - Model fit statistics - Model comparison - ROC and Lift curves |
| Topic 3: Building Predictive Models | 40% | - Gradient boosting - Neural networks - Regression models - Decision trees |
| Topic 4: Scoring and Deployment | 20% | - Model deployment - Model scoring |
1. When exporting score code, what information is typically included in the code?
A) The entire training dataset
B) Instructions for preprocessing new data
C) The distribution of the response variable
D) The model parameters and coefficients
2. Cluster Analysis in SAS Visual Statistics is categorized as which type of machine learning?
A) Unsupervised learning
B) Supervised learning
C) Reinforcement learning
D) Semi-supervised learning
3. Refer to the exhibit:
How many predictor variables would be included in the score code produced by this model?
A) 5
B) 8
C) 13
D) 7
4. Refer to the exhibit:
Which is the modeling approach that should be used when fitting the Target Gift Amount variable?
A) Generalized linear model with a Normal distribution and Log Link.
B) Generalized linear model with a Poisson distribution and Identity link.
C) Logistic regression model.
D) Linear regression model with Interaction effects.
5. What is the primary purpose of choosing an appropriate distribution in a generalized linear model?
A) To control the significance level of predictor variables
B) To simplify the model's mathematical formulation
C) To determine the number of predictors in the model
D) To accurately reflect the nature of the response variable's distribution
Solutions:
| Question # 1 Answer: B,D | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: D |
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