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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Model Evaluation and Validation | - Model comparison and selection - Model performance metrics - Validation and cross-validation techniques |
| Topic 2: Model Development | - Neural networks and advanced modeling in SAS Enterprise Miner - Regression modeling techniques - Decision trees and ensemble methods |
| Topic 3: Data Understanding and Preparation | - Data collection and data source identification - Data cleaning and preprocessing - Handling missing values and outliers - Feature selection and transformation |
| Topic 4: Exploratory Data Analysis | - Visualization techniques for pattern discovery - Descriptive statistics and data profiling |
| Topic 5: Model Implementation and Deployment | - Model scoring and deployment in SAS Enterprise Miner - Monitoring model performance in production |
| Topic 6: Business Understanding and Analytical Framework | - Translate business problems into data mining tasks - Define business objectives and analytics goals |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
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. Backward
- B. Simple
- C. Forward
- D. Stepwise
Correct Answer: C 🗳️
Which of the following solves problems for you when you impute missing values?
Response:
- A. When you impute a synthetic value, predictive information is retained.
- B. When you impute a synthetic value, it eliminates the incomplete case problem.
- C. When you impute a synthetic value, it replaces missing values with 1 or 0.
- D. When you impute a synthetic value, each missing value becomes an input to the model.
Correct Answer: B 🗳️
Assume the Target has an event proportion of 2% in the original data. Which of the following property values should be used in the Sample node of SAS Enterprise Miner to create a sample from that data with a balanced 50/50 split for Target?
Select one:
Response:
- A. Sample Method: Random and Criterion: Equal
- B. Sample Method: Stratify and Criterion: Proportional
- C. Sample Method: Stratify and Criterion: Equal
- D. Sample Method: Random and Criterion: Proportional
Correct Answer: C 🗳️
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. 50
- B. 51
- C. 41
- D. 40
Correct Answer: B 🗳️
In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:
- A. 48.59%
- B. 14.00%
- C. 47.82%
- D. 13.39%
Correct Answer: A 🗳️
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