SASInstitute A00-255 Exam Information and Actual Questions

  • Exam Code/Number: A00-255
  • Exam Name/Title: SAS Predictive Modeling Using SAS Enterprise Miner 14
  • Certification Provider: SASInstitute
  • Corresponding Certification: SAS Institute SAS
  • Exam Questions: 87
  • Updated On: Aug 01, 2026

A00-255
FREE EXAM DUMPS QUESTIONS & ANSWERS

SASInstitute
A00-255 Exam
SAS Predictive Modeling Using SAS Enterprise Miner 14

View A00-255 actual exam questions, answers and explanations for free.

Go To A00-255 Questions

All the information you need to pass SASInstitute SAS Predictive Modeling Using SAS Enterprise Miner 14 A00-255 exam and free practice exam verified by ExamDiscuss exam experts.

SASInstitute A00-255 Certification Exam is intended for data scientists, statisticians, and other professionals who want to demonstrate their expertise in predictive modeling using SAS Enterprise Miner. SAS Predictive Modeling Using SAS Enterprise Miner 14 certification is ideal for professionals who are already familiar with the software and want to expand their knowledge and skills. A00-255 exam is also suitable for those who are new to SAS Enterprise Miner but have a background in statistics or data science.

To pass the SASInstitute A00-255 exam, candidates must demonstrate their proficiency in several areas, including data preparation, variable selection, model selection, model assessment, and deployment. A00-255 exam comprises 50 multiple-choice questions, and candidates have 110 minutes to complete it. A00-255 exam is administered by the SASInstitute and can be taken online or at a testing center. Upon passing the exam, candidates receive a SAS Certified Predictive Modeler Using SAS Enterprise Miner 14 credential, which is recognized globally and can help professionals advance their careers in data science and analytics.

SASInstitute A00-255 Exam Overview:

Certification Vendor:SASInstitute
Exam Name:SAS Predictive Modeling Using SAS Enterprise Miner 14
Exam Number:A00-255
Certificate Validity Period:Valid indefinitely once earned
Available Languages:English
Exam Format:Multiple choice, Short answer, Performance-based
Passing Score:725 (scale 200–1000)
Real Exam Qty:55–60
Related Certifications:SAS Certified Advanced Analytics Professional
Exam Price:$250 USD
Exam Duration:165 minutes
Recommended Training:SAS Enterprise Miner Training Courses
Exam Registration:SAS Certification Registration
Pearson VUE Registration
Sample Questions:SASInstitute A00-255 Sample Questions
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 consists of 55 to 60 multiple-choice and short-answer questions. A00-255 exam duration is 2.5 hours, and candidates must achieve a score of 725 or higher to pass the exam. A00-255 exam is available in English and other languages, and candidates can take the exam at a Pearson VUE testing center or remotely via a Pearson VUE online proctored exam. Overall, the SASInstitute A00-255 exam is an excellent opportunity for professionals who want to improve their skills in predictive modeling and obtain a globally recognized certification.

SASInstitute A00-255 Exam Syllabus Topics:

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


0
0
0
10