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SASInstitute A00-255 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | Predictive Modeling Using SAS Enterprise Miner 14 |
| Exam Number: | A00-255 |
| Exam Duration: | 110 minutes |
| Real Exam Qty: | 60-65 |
| Exam Format: | Multiple Choice |
| Passing Score: | Approximately 68-70% |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Price: | $180 USD |
| Related Certifications: | SAS Certified Data Scientist SAS Certified Advanced Analytics Professional |
| Recommended Training: | SAS e-Learning Courses SAS Predictive Modeling Using Enterprise Miner Training |
| Exam Registration: | Pearson VUE Exam Registration SAS Certification 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: Exploratory Data Analysis | - Visualization techniques for pattern discovery - Descriptive statistics and data profiling |
| Topic 2: Data Understanding and Preparation | - Data cleaning and preprocessing - Handling missing values and outliers - Data collection and data source identification - Feature selection and transformation |
| Topic 3: Model Implementation and Deployment | - Model scoring and deployment in SAS Enterprise Miner - Monitoring model performance in production |
| Topic 4: Model Evaluation and Validation | - Model comparison and selection - Model performance metrics - Validation and cross-validation techniques |
| Topic 5: Business Understanding and Analytical Framework | - Translate business problems into data mining tasks - Define business objectives and analytics goals |
| Topic 6: Model Development | - Neural networks and advanced modeling in SAS Enterprise Miner - Decision trees and ensemble methods - Regression modeling techniques |
A00-255 Exam Questions Answered: SASInstitute Candidates' FAQ
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 is an official exam run by SAS Institute under exam code A00-255. Passing it awards the SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 certification, which sits at the Professional tier. It also counts toward related credentials such as SAS Certified Data Scientist, SAS Certified Advanced Analytics Professional. Certified professionals remain in shorter supply than the market wants, which is precisely why this exam keeps showing up in conversations about better roles and better pay.
The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 exam gives you 110 minutes to work through 60-65 questions. That is a tight ratio, and it punishes candidates who get emotionally attached to any single item. The fix is mechanical: answer what you know, flag what you do not, and keep moving. A few full-length timed runs in the Actual4Exams test engine, with its randomized question order, will calibrate your pace far better than untimed reading ever could.
The official fee for SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 is $180 USD, and Approximately 68-70% is what passing takes. The uncomfortable part: retakes cost the full $180 USD again, which makes preparation the cheapest line item in this whole project. Before booking, put yourself through repeated scored sessions with the Actual4Exams practice tests and compare results over time; a stable margin above the passing line, not a single lucky run, is when you are ready.
No mandatory prerequisite exam; recommended experience with SAS Enterprise Miner and predictive modeling concepts
Vendor rules do get revised, so treat this as your starting point and confirm the current eligibility details before booking via the official exam page.
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 registration runs through these official channels.
Worth noting when you schedule: the exam is delivered Delivered via Pearson VUE (online proctored or test center).
Yes, SAS Institute points SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 candidates toward the following training.
Whatever course you choose, close the loop with question practice: the 87 items in the Actual4Exams A00-255 package convert course knowledge into exam-day scoring ability.
It is. Actual4Exams publishes a free PDF demo of the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 material, so the product can prove itself before you pay. Your purchase then comes with 365 days of free updates, and once that period ends, extending the update service costs 50% of the regular price. The test engine software itself is verified malware-free and safe to install.
Actual4Exams stands behind the product with a 100% money-back guarantee under defined conditions. If you take the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 exam within 60 days of purchase and fail, you qualify for a full refund, provided the exam corresponds to your product. Sitting the exam within 3 days of purchase does not qualify, and neither do unused downloads, free materials, or expired orders; the candidate name must match the payer name. Submit a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and claims are resolved within 7 days. You may also choose an exchange instead of a refund: two other exam products of equal value, free, with the update service on your original purchase retained.
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SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 breaks down into 6 official domains, led by Model Development, Model Implementation and Deployment, and Data Understanding and Preparation. You will find the full topic-by-topic outline above on this page; use the weightings to budget your study hours where they pay back the most.
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
What is the number of missing values for the TLSum variable in the sample generated by SAS Enterprise Miner?
Response:
- A. 1-19
- B. 20-39
- C. 40 or more
- D. 0
Correct Answer: C 🗳️
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. Cluster
- C. Random
- D. Stratify
Correct Answer: D 🗳️
Suppose your input variables have missing values. Before running a decision tree with these input variables, you should do which of the following?
Response:
- A. impute only class variables using the Tree method but do not impute the interval variables
- B. not impute any missing values because trees can handle them.
- C. impute all missing values using the Tree method
- D. impute only interval variables using the Tree method but do not impute the class variables
Correct Answer: B 🗳️
What percentage of observations in the test data has TARGET=1?
Response:
- A. 83.3333
- B. 16.5924
- C. 16.8874
- D. 16.6627
Correct Answer: C 🗳️
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, predictive information is retained.
- C. When you impute a synthetic value, it eliminates the incomplete case problem.
- D. When you impute a synthetic value, each missing value becomes an input to the model.
Correct Answer: C 🗳️
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