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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
|
| Predictive Model Assessment and Implementation | 25-30% | - Model Deployment
|
| Data Sources | 20-25% | - Prepare Source Data
|
Your SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Questions, Fully Answered
SASInstitute lists the following prerequisites for the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14: No mandatory prerequisite. Candidates should have hands-on experience with SAS Enterprise Miner and predictive modeling concepts..
Verify the current requirements on the official certification page before registering.
The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 blueprint is organized around these main domains:
- Building Predictive Models (35-40%)
- Pattern Analysis (10-15%)
- Predictive Model Assessment and Implementation (25-30%)
Additional domains follow in the official outline; our bank covers the complete set.
Per the latest exam information, the A00-255 exam contains 55-60 questions and allows 165 minutes minutes. The software and online engines let you rehearse under those exact conditions.
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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
The Chi Square statistic for measuring association between the variables BanruptcyInd and TARGET is which of the following?
Response:
- A. less than 1.00
- B. 3.00 or higher
- C. between 2.00 and 2.99
- D. between 1.00 and 1.99
Correct Answer: D 🗳️
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. 0.15-0.299999
- B. 0.30-0.449999
- C. 0.45 or higher
- D. less than 0.149999
Correct Answer: B 🗳️
Assume that a company has an excellent customer segmentation in place and the segment scheme is a variable in the input data set. What is the best partition method that one should use?
Select one:
Response:
- A. Systemic
- B. Stratify
- C. Cluster
- D. Random
Correct Answer: B 🗳️
Which of the following sequential selection methods do you use so that SAS Enterprise Miner will look at all variables already included in the model and delete any variable that is not significant at the specified level?
Response:
- A. None
- B. Backward
- C. Stepwise
- D. Forward
Correct Answer: A 🗳️
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 is the probability that TARGET=0 for ID=000355 in the training data?
Response:
- A. 0.9220647773
- B. 0.077935227
- C. 0.9341825902
- D. 0.0658174098
Correct Answer: A 🗳️
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