SASInstitute A00-255 Questions & Answers - in .pdf
- Total Q&A: 87
- Update: Jul 20, 2026
- Price: $59.99
- Vendor: SASInstitute
- Exam Code: A00-255
- Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Predictive Model Assessment and Implementation | 25-30% | - Model Evaluation
- 1. Use decision processing for oversampling adjustment
- 2. Assess model performance using profit and loss information
- 3. Compare models using Model Comparison node
- 4. Select appropriate fit statistics
- Model Deployment
- 1. Score data sets within Enterprise Miner
|
| Topic 2: Pattern Analysis | 10-15% | - Segmentation and Association Analysis
- 1. Perform sequence analysis and market basket analysis
- 2. Identify clusters using Cluster and Segment Profile nodes
- 3. Perform association analysis
|
| Topic 3: Data Sources | 20-25% | - Create and Explore Data Sources
- 1. Explore and assess data sources
- 2. Create data sources from SAS tables in Enterprise Miner
- Prepare Source Data
- 1. Modify source data
- 2. Prepare data for predictive modeling
|
| Topic 4: Building Predictive Models | 35-40% | - Model Development
- 1. Describe predictive modeling concepts and terminology
- 2. Build regression models
- 3. Build neural network models
- 4. Build decision tree models
|
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
1. 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.
In the decision tree model, what is the importance of the variable InqCnt06?
Response:
A) less than 0.149999
B) 0.45 or higher
C) 0.15-0.299999
D) 0.30-0.449999
2. Which model was picked as the best model by SAS Enterprise Miner?
Response:
A) Decision Tree (3-way)
B) Regression
C) None of the above
D) Decision Tree
3. 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.
What percentage of all observations is being correctly predicted in the test data set by the decision tree?
Response:
A) 85.2222%
B) 83.1126%
C) 84.5212%
D) 16.8874%
4. In segment 2, what percentage of GiftAvgCard36 values are between 6.6638 and 11.998?
Select one:
Response:
A) 48.59%
B) 13.39%
C) 47.82%
D) 14.00%
5. Which of the following solves problems for you when you impute missing values?
Response:
A) When you impute a synthetic value, it replaces missing values with 1 or 0.
B) When you impute a synthetic value, it eliminates the incomplete case problem.
C) When you impute a synthetic value, predictive information is retained.
D) When you impute a synthetic value, each missing value becomes an input to the model.
Solutions:
Question # 1
Answer: D | Question # 2
Answer: D | Question # 3
Answer: B | Question # 4
Answer: A | Question # 5
Answer: B |
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