Partial mastery leaks points. The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 engines from ExamTorrent score your performance and push missed A00-255 questions back until you've mastered the whole 87-question set in 2026.
SASInstitute A00-255 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | Predictive Modeling Using SAS Enterprise Miner 14 |
| Exam Number: | A00-255 |
| Passing Score: | Approximately 68-70% |
| Related Certifications: | SAS Certified Advanced Analytics Professional SAS Certified Data Scientist |
| Exam Format: | Multiple Choice |
| Exam Duration: | 110 minutes |
| Real Exam Qty: | 60-65 |
| Exam Price: | $180 USD |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Recommended Training: | SAS Predictive Modeling Using Enterprise Miner Training SAS e-Learning Courses |
| Exam Registration: | SAS Certification Registration Pearson VUE Exam Registration |
| Sample Questions: |  |
| Exam Way: | Delivered via Pearson VUE (online proctored or test center) |
| Pre Condition: | No mandatory prerequisite exam; recommended experience with SAS Enterprise Miner and predictive modeling concepts |
| Official Syllabus URL: | https://www.sas.com/en_us/certification.html |
SASInstitute A00-255 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Business Understanding and Analytical Framework | - Define business objectives and analytics goals - Translate business problems into data mining tasks |
| Topic 2: Model Implementation and Deployment | - Monitoring model performance in production - Model scoring and deployment in SAS Enterprise Miner |
| Topic 3: Exploratory Data Analysis | - Descriptive statistics and data profiling - Visualization techniques for pattern discovery |
| Topic 4: Data Understanding and Preparation | - Data collection and data source identification - Handling missing values and outliers - Feature selection and transformation - Data cleaning and preprocessing |
| Topic 5: Model Development | - Decision trees and ensemble methods - Neural networks and advanced modeling in SAS Enterprise Miner - Regression modeling techniques |
| Topic 6: Model Evaluation and Validation | - Validation and cross-validation techniques - Model performance metrics - Model comparison and selection |
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Exam FAQ — Direct Answers
No mandatory prerequisite exam; recommended experience with SAS Enterprise Miner and predictive modeling concepts Eligibility rules do change, so confirm the current requirements on the official page (official A00-255 exam page) before booking.
110 minutes for 60-65 questions. Efficiency beats exhaustion: the ExamTorrent software version simulates the real test scene and scores your performance, so every practice hour moves you forward.
Yes:
Training gives knowledge direction; practice gives it proof. Follow courses with the 87 practice questions for the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 to measure real progress.
Delivery and payment are both safe: we support credit card payment, your information is protected by a strict system, and the product emails automatically within a minute of purchase — unlimited devices, 7*24 support if nothing arrives within 2 hours. If you fail the corresponding A00-255 exam within 60 days of purchase, we refund in full: provide a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.
$180 USD per attempt, Approximately 68-70% to pass. Since a retake costs the full fee, prepare with direction: the 87 practice questions from ExamTorrent focus your effort where the exam points are.
The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 is SASInstitute's certification exam for SAS Certified Predictive Modeler Using SAS Enterprise Miner 14, at the Professional level. It validates applied skills employers hire for — a credential worth the effort. Related credentials include SAS Certified Data Scientist, SAS Certified Advanced Analytics Professional.
The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 blueprint covers 6 domains — including Model Implementation and Deployment, Model Evaluation and Validation, Model Development. The weightings are your efficiency map: heavy domains first. Every subtopic appears in the outline above.
Through the vendor's official registration channels:
The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 is delivered Delivered via Pearson VUE (online proctored or test center), so pick the arrangement that suits you when booking.
Yes — download the free SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 demo and judge the question quality before paying. Every purchase stays valid for 365 days with free updates throughout, renewable afterward at 50% off.
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
For an ordinal variable with L levels, the number of possible splits in a decision tree is which of the following?
Response:
- A. (L-1)/1
- B. 2L-1-1
- C. 2L-1
- D. 2L
Correct Answer: B 🗳️
If the bank wanted to select the best model based on which model achieves the highest lift for the third decile in the validation data, then which of the following is the best model?
Response:
- A. Neural Network
- B. Decision Tree (3-way)
- C. Regression
- D. Decision Tree
Correct Answer: D 🗳️
Which of the following solves problems for you when you impute missing values?
Response:
- A. When you impute a synthetic value, each missing value becomes an input to the model.
- 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, predictive information is retained.
Correct Answer: B 🗳️
Choose the correct statement that illustrates Decision Tree Split Search for continuous (interval) inputs:
Select one:
Response:
- A. Each unique value has the potential of being the optimal split point, except for the extreme observation.
- B. The variable goes through a non-linear transformation, and the transformed variable is used for testing.
- C. The variable goes through a binning process, the bins are weighted based on the proportion of events in each bin, and then finally tested as an optimal split point.
- D. Each unique value has the potential of being the optimal split point.
Correct Answer: D 🗳️
If the bank wanted to select the best model based on the models' overall performances on the validation data as measured by the average squared error, then the best model is which of the following?
Response:
- A. Neural Network
- B. Decision Tree (3-way)
- C. Regression
- D. Decision Tree
Correct Answer: C 🗳️
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