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SASInstitute A00-255 exam dumps : SAS Predictive Modeling Using SAS Enterprise Miner 14
- Exam Code: A00-255
- Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
- Updated: Oct 11, 2026 Q & A: 87 Questions and Answers
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About SASInstitute A00-255 Exam
The real test has an atmosphere; rehearse inside it. PracticeTorrent's online engine simulates the formal SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 test — 87 practice questions for the A00-255 exam, convenience included, current for 2026.
SASInstitute A00-255 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Predictive Models | 35-40% | - Model Development
|
| Topic 2: Predictive Model Assessment and Implementation | 25-30% | - Model Evaluation
|
| Topic 3: Pattern Analysis | 10-15% | - Segmentation and Association Analysis
|
| Topic 4: Data Sources | 20-25% | - Prepare Source Data
|
A00-255 Exam FAQ — Professional Answers
Yes — download the free trial of the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 material before you buy. Members then enjoy free updating for 365 days, with new versions emailed promptly; renew afterward at 50% off.
The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 is SASInstitute's certification exam for SAS Institute SAS, at the Professional level. As a major exam recognized by most companies, it proves your IT ability to employers — including the big international ones. Related credentials include SAS Certified Predictive Modeler Using SAS Enterprise Miner 14, SAS Certified Advanced Analytics Professional, SAS Certified Data Scientist.
The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 blueprint covers 4 domains — including Data Sources (20-25%), Predictive Model Assessment and Implementation (25-30%), Pattern Analysis (10-15%). Pay attention to the key points where weightings concentrate; the full outline above lists every subtopic.
USD 250 per attempt, 725/1000 to pass. Half the effort works only with the right focus — rehearse with the 87 practice questions for the A00-255 exam at PracticeTorrent before booking.
No mandatory prerequisite. Candidates should have hands-on experience with SAS Enterprise Miner and predictive modeling concepts. Eligibility rules are updated periodically, so verify the current requirements on the official page (official A00-255 exam page) before registering.
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165 minutes for 55-60 questions. The online engine simulates the formal test atmosphere — practice anywhere, so the clock feels familiar on the day.
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Question #1
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. Random
- C. Stratify
- D. Cluster
Correct Answer: C 🗳️
Question #2
Which of the following is not a good reason to"regularize" input distributions using a simple transformation?
Response:
- A. When you perform regression, inputs with highly skewed or highly kurtotic distributions can be selected over inputs that would yield better overall predictions.
- B. Regression models are sensitive to extreme or outlying values in the input space.
- C. Another benefit is ease in model interpretation.
- D. One benefit is improved model performance.
Correct Answer: C 🗳️
Question #3
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: Stratify and Criterion: Equal
- B. Sample Method: Random and Criterion: Proportional
- C. Sample Method: Stratify and Criterion: Proportional
- D. Sample Method: Random and Criterion: Equal
Correct Answer: A 🗳️
Question #4
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. 0.30-0.449999
- B. 0.45 or higher
- C. less than 0.149999
- D. 0.15-0.299999
Correct Answer: A 🗳️
Question #5
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. 16.8874%
- C. 84.5212%
- D. 83.1126%
Correct Answer: D 🗳️
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