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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Predictive Model Assessment and Implementation | 25-30% | - Model Evaluation
|
| Building Predictive Models | 35-40% | - Model Development
|
| Data Sources | 20-25% | - Create and Explore Data Sources
|
| Pattern Analysis | 10-15% | - Segmentation and Association Analysis
|
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
1. Which method of input selection for regression analysis evaluates the statistical significance of the total model to see if it improves on the baseline as the variables are added and once no further improvement is made then variable selection ends?
Select one:
Response:
A) Forward
B) Backward
C) Simple
D) Stepwise
2. The selected model, based on the misclassification rate for the validation data, has how many input variables?
Response:
A) 4 or more
B) 1
C) 2
D) 3
3. Consider a binary target variable. Assume Accuracy is the desired assessment measure. Accuracy is not an option in the Decision Tree node. Which assessment measure can you use as a proxy for accuracy?
Select one:
Response:
A) Average Squared Error
B) Mean Square Error
C) Total Profit
D) 1 - Misclassification Rate
4. Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
How many leaves are there in the decision tree?
Response:
A) 16-20
B) 11-15
C) 21 or more
D) 1-10
5. Refer to the exhibit:
The SAS data set credit_customers contains a numeric variable units_sold that holds only the values: 1, 2, 3, 4. Based on the settings provided in the Advanced Advisor Options, what will be the Role and Level of the units_sold variable when the credit_customers data set is created using Advanced Metadata Advisor in the Data Source Wizard?
Select one:
Response:
A) Role: InputLevel: Interval
B) Role: RejectedLevel: Nominal
C) Role: IntervalLevel: Input
D) Role: InputLevel: Nominal
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: D |



