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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Pattern Analysis | 10–15% | - Identify clusters and segments - Interpret pattern discovery results |
| Topic 2: Predictive Model Assessment and Implementation | 25–30% | - Apply appropriate fit statistics - Adjust for oversampling and sampling methods - Score and deploy models - Evaluate performance via profit/loss and comparison |
| Topic 3: Data Sources | 20–25% | - Modify and prepare source data for modeling - Explore and assess data sources - Create data sources from SAS tables |
| Topic 4: Building Predictive Models | 35–40% | - Build models using neural networks - Build models using decision trees - Understand predictive modeling concepts - Build models using regression techniques |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Question 1
A separate sample has been taken such that the target distribution in the separate sample is different from the target distribution in the original sample.
What should be adjusted?
Select one:
Response:
A. lift
B. confidence intervals
C. sensitivity
D. specificity
Question 2
You are building a model for a marketing campaign. Every responder to the campaign solicitation will generate $471 in gross revenue. The average cost per solicitation is $66. Incorporating the above information in a decision matrix, what would be the decision threshold (probability cutoff) generated in your model?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
A. 0.20
B. 0.86
C. 0.16
D. 0.14
Question 3
Which model was picked as the best model by SAS Enterprise Miner?
Response:
A. None of the above
B. Decision Tree (3-way)
C. Decision Tree
D. Regression
Question 4
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. Total Profit
C. Mean Square Error
D. 1 - Misclassification Rate
Question 5
What is the average squared error in the training data?
Response:
A. 0.131709
B. 0.133665
C. 0.131208
D. 0.131583
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: C | Question 4 Answer: D | Question 5 Answer: D |




