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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Predictive Model Assessment and Implementation | 25-30% | - Model Deployment
|
| Building Predictive Models | 35-40% | - Model Development
|
| Pattern Analysis | 10-15% | - Segmentation and Association Analysis
|
| Data Sources | 20-25% | - Prepare Source Data
|
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Transformation of input variables to make their distributions more symmetric will likely have what impact in a logistic regression?
Select one:
Response:
- A. decrease the performance of logistic regression
- B. neither increase nor decrease the performance of logistic regression
- C. create convergence problems in maximum likelihood estimation
- D. increase the performance of logistic regression
Correct Answer: D 🗳️
In SAS Enterprise Miner's Decision Tree node, which of the following types of target variable can be used?
Response:
- A. binary
- B. all of the above
- C. interval
- D. nominal with any number of categories
Correct Answer: B 🗳️
Perform these tasks in SAS Enterprise Miner:
Add a Decision Tree node, as shown below. (Make sure you use only default options in the Decision Tree node.)
Run the Decision Tree node.
Now suppose that the bank expects to make a profit of $200 USD when TARGET=1, but it expects to lose $25 USD when TARGET=0. Incorporate the above scenario, change the assessment measure of the decision tree to average square error, and then run the Decision Tree node. What is the total profit for the test data set?
Response:
- A. 1,600 or higher
- B. 1,000-1,599
- C. less than or equal to 299
- D. 300-999
Correct Answer: A 🗳️
1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
The variable Branch has how many levels?
Response:
- A. 12
- B. 19
- C. 8
- D. 47
Correct Answer: B 🗳️
Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
The percentage of observations correctly predicted in the validation data by the Ensemble model is in which of the following ranges?
Response:
- A. 94% or higher
- B. less than 83.99%
- C. 84-89.99%
- D. 90-93.99%-
Correct Answer: B 🗳️
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