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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Pattern Analysis | 10-15% | - Segmentation and Association Analysis
|
| Building Predictive Models | 35-40% | - Model Development
|
| Data Sources | 20-25% | - Prepare Source Data
|
| Predictive Model Assessment and Implementation | 25-30% | - Model Evaluation
|
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Perform these tasks in SAS Enterprise Miner:
- Use the Regression node to build another regression model with TARGET as the dependent variable and all other input variables as independent variables (main effects only).
- Configure the regression model to use Stepwise for Selection Model and Validation Error for Selection Criteri a. Do not change any other property for the regression model.
For the validation data, in what range does cumulative percent captured response at the 60th percentile lie?
Response:
- A. 50-74.99
- B. 75 or more
- C. 25-49.99
- D. 0-24.99
Correct Answer: B 🗳️
A multilayer perceptron neural network is using three interval inputs to model one interval target (outcome). The neural network has ten hidden units and one hidden layer. How many weights, including biases are being estimated?
You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:
- A. 41
- B. 40
- C. 50
- D. 51
Correct Answer: D 🗳️
Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:
- A. Each unique value has the potential of being the optimal split point.
- B. The variable goes through a binning process, the bins are weighted based on the proportion of events in each bin, and then finally tested as an optimal split point.
- C. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
- D. Each unique value has the potential of being the optimal split point, except for the extreme observation.
Correct Answer: A 🗳️
Which of the following is not true about results produced by the Regression node?
Response:
- A. Variable Summary information identifies the roles of variables used by the Regression node.
- B. Fit Statistics can provide information that affects decision predictions, but does not affect estimate predictions.
- C. Model Information provides you with information that includes the number of target categories and the number of model parameters.
- D. Type 3 Analysis of Effects provides you with information about the number of parameters that each input contributes to the model.
Correct Answer: B 🗳️
The number of neurons in this Neural Network model is which of the following:
Response:
- A. 1
- B. 4 or more
- C. 2
- D. 3
Correct Answer: A 🗳️
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