Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
Certification Provider: SASInstitute
Corresponding Certification: SAS Institute SAS
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SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Predictive Model Assessment and Implementation | 25-30% | - Model Evaluation
|
| Topic 2: Data Sources | 20-25% | - Prepare Source Data
|
| Topic 3: Pattern Analysis | 10-15% | - Segmentation and Association Analysis
|
| Topic 4: Building Predictive Models | 35-40% | - Model Development
|
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:
1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Cubic Clustering Criterion statistic for this clustering?
Response:
- A. 5862.76
- B. 14.69
- C. 5.00
- D. 67409.93
Correct Answer: B 🗳️
What is the average squared error in the training data?
Response:
- A. 0.131583
- B. 0.133665
- C. 0.131709
- D. 0.131208
Correct Answer: A 🗳️
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
- A. between 14 and 16.99
- B. less than 10
- C. 17 or higher
- D. between 10 and 13.99
Correct Answer: A 🗳️
If we were to add a Transformation node, what would be the default transformation for interval inputs for the present scenario?
Response:
- A. none of the above
- B. Maximum Correlation
- C. Maximum Normal
- D. Optimal
Correct Answer: A 🗳️
For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:
- A. 150-199
- B. 100-149
- C. 0-99
- D. 200 or higher
Correct Answer: B 🗳️
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