SASInstitute A00-255 actual dump : SAS Predictive Modeling Using SAS Enterprise Miner 14

A00-255
  • Exam Code: A00-255
  • Exam Name: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Updated: Sep 17, 2026
  • Q & A: 87 Questions and Answers

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About SASInstitute A00-255 Exam Questions

Short on time before your A00-255 exam date? Actual4Dumps packs 87 focused practice questions for the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 into a format you can work through whenever a spare hour appears, so even a busy schedule is no excuse.

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
Certificate Validity Period:3 years
Exam Format:Multiple Choice
Real Exam Qty:60-65
Exam Price:$180 USD
Available Languages:English
Related Certifications:SAS Certified Data Scientist
SAS Certified Advanced Analytics Professional
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:Free Download Latest A00-255 actual dumps
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:

SectionObjectives
Topic 1: Exploratory Data Analysis- Descriptive statistics and data profiling
- Visualization techniques for pattern discovery
Topic 2: Model Evaluation and Validation- Validation and cross-validation techniques
- Model comparison and selection
- Model performance metrics
Topic 3: Business Understanding and Analytical Framework- Define business objectives and analytics goals
- Translate business problems into data mining tasks
Topic 4: Model Implementation and Deployment- Model scoring and deployment in SAS Enterprise Miner
- Monitoring model performance in production
Topic 5: Data Understanding and Preparation- Handling missing values and outliers
- Feature selection and transformation
- Data cleaning and preprocessing
- Data collection and data source identification
Topic 6: Model Development- Neural networks and advanced modeling in SAS Enterprise Miner
- Regression modeling techniques
- Decision trees and ensemble methods

SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 FAQs: What Candidates Ask Most

The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 is the official SASInstitute exam that leads to the SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 certification at the Professional level. Passing it validates your skills against SASInstitute standards and proves your qualification to current and future employers. The credential is also connected with related certifications such as SAS Certified Data Scientist, SAS Certified Advanced Analytics Professional, so it can serve as a solid step in a broader certification path.

The A00-255 exam has 60-65 questions in total and must be completed within 110 minutes. That leaves only a narrow time budget per item, so train yourself to flag a difficult question, move on, and circle back later instead of getting stuck. A week or two before your test date, run at least one full timed mock exam in the Actual4Dumps desktop or online test engine under the same 110 minutes limit, and repeat until you can finish with a few minutes left for review.

The passing score for the A00-255 exam is Approximately 68-70%, and the official registration fee is $180 USD. Keep in mind that a failed attempt is not discounted — retaking the exam means paying the full fee again — so it is wise not to book your seat until your practice scores sit comfortably above the passing mark. Working through the 87 questions at Actual4Dumps in timed mode is a reliable way to judge when you are truly ready.

SASInstitute sets the following requirement for the A00-255 exam: No mandatory prerequisite exam; recommended experience with SAS Enterprise Miner and predictive modeling concepts. Eligibility rules can change from time to time, so always confirm the current prerequisites on the official exam page at https://www.sas.com/en_us/certification.html before you register.

You can register for the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 through the following official channels:

The A00-255 exam is delivered as Delivered via Pearson VUE (online proctored or test center), so review the technical and check-in requirements for that format when you schedule your appointment.

SASInstitute recommends the following official training options for the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14:

Official courses build the theory, and pairing them with the 87 practice questions from Actual4Dumps turns that knowledge into exam-ready answers.

Yes. Actual4Dumps offers a free PDF demo for the SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14, so you can review real sample questions and judge the quality before paying anything. After your purchase, you receive 365 days of free updates — whenever the question pool changes, you get the latest version at no cost. Once that period expires, you can extend your update service at a 50% discount from your member zone.

If you take the A00-255 exam within 60 days of your purchase and do not pass, you can apply for a full refund under our 100% Money Back Guarantee. To qualify, submit a scanned copy of your exam enrollment slip together with your official Score Report (PDF) within 2 days after the exam date, and your claim will be processed within 7 days. Note that the guarantee applies only to the corresponding exam: attempts taken within 3 days of purchase, downloaded-but-unused materials, free resources, and expired orders are not eligible, and the candidate name must match the purchaser name. If you would rather not refund, you can exchange the product for two free exam products of equal value while keeping the update service on your original purchase.

Delivery is instant: your files are available to download right after payment and are also sent to your email within one minute. If nothing arrives within 2 hours, contact our support team (and check your spam folder first). There is no limit on the number of computers you can install the product on.

The SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 is organized into 6 domains. Among the first ones are Model Implementation and Deployment, Model Evaluation and Validation, Exploratory Data Analysis, and the remaining domains cover the rest of the official objectives. For the complete topic breakdown with every subtopic, see the full A00-255 exam outline above on this page.

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

Question #1

1. Create a project named Insurance, with a diagram named Explore.
2. Create the data source, DEVELOP, in SAS Enterprise Miner. DEVELOP is in the directory c:\workshop\Practice.
3. Set the role of all variables to Input, with the exception of the Target variable, Ins (1= has insurance, 0= does not have insurance).
4. Set the measurement level for the Target variable, Ins, to Binary.
5. Ensure that Branch and Res are the only variables with the measurement level of Nominal.
6. All other variables should be set to Interval or Binary.
7. Make sure that the default sampling method is random and that the seed is 12345.
What is the mean credit card balance (CCBal) of the customers with a variable annuity?
Response:

  • A. $8,711.65
  • B. $0.00
  • C. $9,586.55
  • D. $11,142.45
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #2

Open the diagram labeled Practice A within the project labeled Practice A. Perform the following in SAS Enterprise Miner:

1. Set the Clustering method to Average.
2. Run the Cluster node.
What is the Importance statistic for MTGBal (Mortgage Balance)?
Response:

  • A. 0.42541
  • B. 0.42667
  • C. 0.32959
  • D. 0.60485
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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. 0.30-0.449999
  • C. 0.15-0.299999
  • D. 0.45 or higher
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #4

Multicollinearity in regression refers to which of the following?
Response:

  • A. high skewness in distributions of input variables
  • B. non-normality of the target variable
  • C. non-constant variance of the target variable
  • D. high correlations among input variables
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #5

Assume in a data mining project that the task is to predict rankings of a target variable as accurately as possible. Which of the following should be used to judge prediction models?
Response:

  • A. KS statistic
  • B. Gini coefficient
  • C. average squared error
  • D. misclassification
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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