PDF Version DemoBooking the A00-255 exam is an investment, and a failed attempt means paying the registration fee all over again. With 87 practice questions from Getcertkey, you walk into the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 exam knowing exactly where you stand.
SASInstitute A00-255 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | Predictive Modeling Using SAS Enterprise Miner 14 |
| Exam Number: | A00-255 |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 110 minutes |
| Exam Price: | $180 USD |
| Real Exam Qty: | 60-65 |
| Exam Format: | Multiple Choice |
| Related Certifications: | SAS Certified Advanced Analytics Professional SAS Certified Data Scientist |
| Available Languages: | English |
| Passing Score: | Approximately 68-70% |
| Recommended Training: | SAS Predictive Modeling Using Enterprise Miner Training SAS e-Learning Courses |
| 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: Data Understanding and Preparation | - Data cleaning and preprocessing - Handling missing values and outliers - Feature selection and transformation - Data collection and data source identification |
| Topic 2: Model Development | - Decision trees and ensemble methods - Regression modeling techniques - Neural networks and advanced modeling in SAS Enterprise Miner |
| Topic 3: Business Understanding and Analytical Framework | - Translate business problems into data mining tasks - Define business objectives and analytics goals |
| Topic 4: Exploratory Data Analysis | - Descriptive statistics and data profiling - Visualization techniques for pattern discovery |
| Topic 5: Model Evaluation and Validation | - Validation and cross-validation techniques - Model performance metrics - Model comparison and selection |
| Topic 6: Model Implementation and Deployment | - Model scoring and deployment in SAS Enterprise Miner - Monitoring model performance in production |
Common Questions About the SASInstitute A00-255 Exam
What is the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 exam all about?
The A00-255 exam is the official SAS Institute exam behind the SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 certification, validating the skills measured by the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 credential. It sits at the Professional level of the SAS Institute certification program. It also connects to SAS Certified Data Scientist, SAS Certified Advanced Analytics Professional, so the knowledge you build here carries over to those tracks as well.
How many questions are on the A00-255 exam, and how much time do I get?
The A00-255 exam contains 60-65 questions to be completed within 110 minutes. Before exam day, divide the available time by the question count to work out a comfortable per-question pace, and mark any item that eats into it so you can return later instead of getting stuck. Timed sessions in the Getcertkey test engines make that pacing automatic — run at least two full-length mock exams under the clock so time pressure never becomes the reason you drop points.
What score do I need to pass the A00-255 exam, and what does it cost?
The passing score for the A00-255 exam is Approximately 68-70%, and the official registration fee is $180 USD. Retakes are not discounted — every new attempt means paying the full fee again — so it pays to measure yourself before you book. Work through the 87 practice questions on Getcertkey, sit a timed practice test, and schedule your exam only when your scores are consistently comfortable. That simple habit is the cheapest exam strategy there is.
Are there any prerequisites for the A00-255 exam?
No mandatory prerequisite exam; recommended experience with SAS Enterprise Miner and predictive modeling concepts Requirements can change when SAS Institute revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the A00-255 exam?
You can book the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Delivered via Pearson VUE (online proctored or test center). Choose the option that suits you best when you book your seat.
What official training is recommended for the A00-255 exam?
SAS Institute recommends the following training resources for the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 exam:
Official courses build the foundation; the 87 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the A00-255 practice questions before I buy?
Yes. Getcertkey provides a free A00-255 PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if SASInstitute revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the A00-255 exam, and how is my order delivered?
Every SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the A00-255 exam?
The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 exam blueprint is organized into 6 domains. The first three are:
- Exploratory Data Analysis
- Data Understanding and Preparation
- Model Development
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:
Question 1
For the variable InqCnt06, replace all values over 10.1 with the value 10. How many values are replaced?
Response:
A. 100-149
B. 200 or higher
C. 0-99
D. 150-199
Question 2
Which model was picked as the best model by SAS Enterprise Miner?
Response:
A. None of the above
B. Decision Tree
C. Decision Tree (3-way)
D. Regression
Question 3
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. less than 0.149999
B. 0.15-0.299999
C. 0.45 or higher
D. 0.30-0.449999
Question 4
What is the kurtosis value for the variable TLDel60Cnt24?
Response:
A. between 14 and 16.99
B. between 10 and 13.99
C. 17 or higher
D. less than 10
Question 5
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, predictive information is retained.
D. When you impute a synthetic value, it replaces missing values with 1 or 0.
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: B |
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