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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Exploratory Data Analysis | - Visualization techniques for pattern discovery - Descriptive statistics and data profiling |
| Topic 2: Model Evaluation and Validation | - Validation and cross-validation techniques - Model comparison and selection - Model performance metrics |
| Topic 3: Model Implementation and Deployment | - Model scoring and deployment in SAS Enterprise Miner - Monitoring model performance in production |
| Topic 4: Model Development | - Decision trees and ensemble methods - Neural networks and advanced modeling in SAS Enterprise Miner - Regression modeling techniques |
| Topic 5: Business Understanding and Analytical Framework | - Translate business problems into data mining tasks - Define business objectives and analytics goals |
| Topic 6: Data Understanding and Preparation | - Feature selection and transformation - Data cleaning and preprocessing - Handling missing values and outliers - Data collection and data source identification |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
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.
The number of input variables being used by the Neural Network model is which of the following?
Response:
- A. less than or equal to 10
- B. 16-20
- C. 11-15
- D. 21 or more
Correct Answer: B 🗳️
Refer to the exhibit:
The SAS data set retail contains information on the count of retail store sales based on the following item types: bargain, essential, gourmet, and health. Based on the results from the Cluster Profile node, which statement is true?
Select one:
Response:
- A. The overall distribution of bargain item sales is left-skewed and Segment 4 contains stores selling fewer than average bargain items.
- B. The overall distribution of bargain item sales is approximately normal and Segment 1 contains stores selling fewer than average bargain items.
- C. The overall distribution of essential item sales is right skewed and Segment 4 contains stores selling higher than average essential items.
- D. The overall distribution of essential item sales is approximately normal and Segment 1 contains stores selling fewer than average essential items.
Correct Answer: B 🗳️
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
- A. between 10 and 13.99
- B. between 14 and 16.99
- C. less than 10
- D. 17 or higher
Correct Answer: B 🗳️
Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:
- A. misclassification
- B. average squared error
- C. KS statistic
- D. Gini coefficient
Correct Answer: D 🗳️
Assume you have two equally appealing logistic regression models. Then, if you have to select only one out of these two models, you should select the one that has which of the following?
Response:
- A. smaller value of gamma
- B. higher value of AIC (Akaike,s information criterion)
- C. all of the above
- D. smaller value of SBC (Schwarz,s Bayesian criterion)
Correct Answer: D 🗳️
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