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The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 has a reputation for catching unprepared candidates off guard, and the A00-255 is no exception in 2026. Rather than guessing what the exam will feel like, work through the 87 practice questions at 2Pass4sure and walk in knowing what to expect.

SASInstitute A00-255 Exam Overview:

Certification Vendor:SASInstitute
Exam Name:SAS Predictive Modeling Using SAS Enterprise Miner 14
Exam Number:A00-255
Exam Duration:165 minutes
Available Languages:English
Certificate Validity Period:Valid indefinitely once earned
Real Exam Qty:55–60
Passing Score:725 (scale 200–1000)
Exam Format:Multiple choice, Short answer, Performance-based
Exam Price:$250 USD
Related Certifications:SAS Certified Advanced Analytics Professional
Recommended Training:SAS Enterprise Miner Training Courses
Exam Registration:Pearson VUE Registration
SAS Certification Registration
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Recommended: experience with SAS Enterprise Miner, data mining and predictive modeling concepts; no mandatory prerequisites
Official Syllabus URL:https://www.sas.com/en_us/certification/credentials/advanced-analytics/predictive-modeler-14.html

SASInstitute A00-255 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Predictive Model Assessment and Implementation25–30%- Adjust for oversampling and sampling methods
- Score and deploy models
- Apply appropriate fit statistics
- Evaluate performance via profit/loss and comparison
Topic 2: Building Predictive Models35–40%- Build models using neural networks
- Build models using regression techniques
- Understand predictive modeling concepts
- Build models using decision trees
Topic 3: Data Sources20–25%- Modify and prepare source data for modeling
- Explore and assess data sources
- Create data sources from SAS tables
Topic 4: Pattern Analysis10–15%- Interpret pattern discovery results
- Identify clusters and segments

A00-255 Exam FAQ: What Candidates Ask Most

The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 (exam code A00-255) is the exam you pass to earn the SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 certification, a credential at the Professional level. It is also connected with related credentials such as SAS Certified Advanced Analytics Professional. If you are mapping out a certification path with SASInstitute, this exam is a milestone worth planning around.

The A00-255 exam includes 55–60 questions, and you have 165 minutes to complete them. With that many questions on the clock, pacing is part of the challenge: divide your time into rough blocks as you go, and flag the items that stall you so you can circle back at the end instead of burning minutes on a single question. A week or two before your exam date, sit at least one full timed session in the 2Pass4sure test engine under the same time limit, so the pace feels familiar rather than frantic on the day.

You need 725 (scale 200–1000) to pass the A00-255 exam, and the official registration fee is $250 USD. That fee is due again in full for every retake, which makes thorough preparation the cheaper investment by far. Before you book your seat, test yourself with the 2Pass4sure practice questions until you are scoring comfortably above the passing mark on a consistent basis — it is the simplest way to avoid paying for the same exam twice.

Recommended: experience with SAS Enterprise Miner, data mining and predictive modeling concepts; no mandatory prerequisites

Eligibility rules can be adjusted by SASInstitute over time, so before you register, confirm the current requirements on the official exam page: view the official A00-255 exam information.

You can book the A00-255 exam through the official registration channels below:

How the exam is taken: Online proctored or onsite at Pearson VUE test centers.

SASInstitute lists the following official training options for candidates preparing for this exam:

Once you have worked through the training, measure your readiness with the 87 practice questions from 2Pass4sure — they show you exactly which topics still need attention before you book the exam.

Yes. 2Pass4sure offers a free PDF demo of the A00-255 practice questions, so you can judge the quality of the material firsthand before paying anything. Every purchase also includes 365 days of free updates — if SASInstitute changes the exam during that year, your material changes with it. And when the free update period expires, you can extend it at a 50% discount from within your member zone.

Every A00-255 purchase at 2Pass4sure is backed by a 100% Money Back Guarantee: if you take the corresponding exam within 60 days of your purchase and do not pass, you can apply for a full refund. The guarantee has clear conditions — it does not apply if you sit the exam within 3 days of purchase, if you downloaded the material but never actually took the exam, or to free materials and expired orders, and the candidate name must match the payer name. To file a claim, send a scan of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam; claims are processed within 7 days. If you would rather not take a refund, you can exchange the product instead and receive two additional exam preparation products of equal value for free, while your original product keeps its update service. Delivery itself is instant: your material is available for download right after payment and is also sent to your email within one minute — if it has not arrived within 2 hours, contact our customer service. There is no limit on how many computers you can install it on.

The official SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 outline divides the exam content into 4 main domains. The first three are:

  • Building Predictive Models — 35–40%
  • Data Sources — 20–25%
  • Pattern Analysis — 10–15%

That is only the headline view — scroll back up to the Exam Topics section on this page for the complete domain-by-domain breakdown before you plan your study schedule.

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 Sample Questions:

Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
How many leaves are there in the decision tree?
Response:

  • A. 16-20
  • B. 21 or more
  • C. 1-10
  • D. 11-15
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Perform this task using SAS Enterprise Miner:
Continue to use the same diagram. Use an Ensemble node (configure using default options) in SAS Enterprise Miner to combine all four models.
Compare the performance of the ensemble and the four models using average squared error in the validation data. Which is the best model in this comparison?
Response:

  • A. Neural Network
  • B. Decision Tree
  • C. Ensemble
  • D. Regression
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Perform these tasks in SAS Enterprise Miner:
- Add a Decision Tree node after the Impute node with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the decision tree to use 1 for Number of Surrogate Rules and Largest for Method in Subtree. Do not change any other property of the Decision Tree node.
- Add another Neural Network node after the decision tree with TARGET as the dependent variable and all other input variables as independent variables (main effects only). Configure the Neural Network model to use Average Error for Model Selection Criterion. Do not change any other property for the Neural Network node. Run the process flow.
How many leaves are there in the decision tree?
Response:

  • A. 16-20
  • B. 21 or more
  • C. 1-10
  • D. 11-15
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Refer to the exhibit:

What would be the decision threshold (probability cutoff) generated for this decision matrix. You may use a calculator for this question. On the certification exam, an on-screen calculator is provided for you.
Select one:
Response:

  • A. 0.82
  • B. 0.27
  • C. 0.21
  • D. 0.18
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

What percentage of observations in the test data has TARGET=1?
Response:

  • A. 16.6627
  • B. 16.5924
  • C. 83.3333
  • D. 16.8874
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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