- Exam Code: A00-262
- Exam Name: SAS Data Quality using DataFlux Data Management Studio
- Updated: Sep 13, 2026
- Q & A: 0 Questions and Answers
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Earning the SASInstitute SAS Data Quality using DataFlux Data Management Studio tells employers your skills meet SASInstitute standards, which is exactly why the exam is demanding. Actual4Dumps prepares you for the A00-262 exam with 0 practice questions aligned to the official 2026 objectives.
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Data Quality using DataFlux Data Management Studio |
| Exam Number: | A00-262 |
| Passing Score: | 68% |
| Exam Price: | $180 USD |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Format: | Short Answer, Multiple Choice |
| Exam Duration: | 110 minutes |
| Related Certifications: | SAS Certified Big Data Professional SAS Certified Platform Administrator for SAS 9 |
| Real Exam Qty: | 75 |
| Recommended Training: | DQ22DMP1: DataFlux Data Management Studio: Basics SAS Official A00-262 Preparation Guide |
| Exam Registration: | SAS Certification Registration Pearson VUE Registration |
| Exam Way: | In-person at Pearson VUE test centers or online proctored exam |
| Pre Condition: | No required prerequisites; recommended hands-on experience with DataFlux Data Management Studio |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/exams/a00-262.html |
| Section | Weight | Objectives |
|---|---|---|
| Data Standardization & Quality Knowledge Base | 20% | - Parsing, right-fielding, and transformation logic - Working with Quality Knowledge Base (QKB) - Creating standardization schemes |
| Entity Resolution & Matching | 15% | - Surviving record identification - Building match codes and clustering strategies - Configuring identification analysis |
| DataFlux Methodology & Environment | 20% | - Connecting to data sources and creating data collections - Understanding Plan, Act, Monitor phases - Navigating Data Management Studio interface |
| Advanced Techniques | 8% | - Using Expression Engine Language (EEL) - Implementing macro variables and reusable logic |
| Data Exploration & Profiling | 25% | - Configuring and interpreting data profiles - Building and running data explorations - Identifying data anomalies and quality issues |
| Business Rules & Monitoring | 12% | - Scheduling and running jobs on Data Management Server - Designing monitoring jobs and alerts - Creating and managing business rules |
The SASInstitute SAS Data Quality using DataFlux Data Management Studio is the official SASInstitute exam that leads to the SAS Certified Data Quality Steward for SAS 9 certification at the Associate 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 Platform Administrator for SAS 9, SAS Certified Big Data Professional, so it can serve as a solid step in a broader certification path.
The A00-262 exam has 75 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 A00-262 exam is 68%, 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 0 questions at Actual4Dumps in timed mode is a reliable way to judge when you are truly ready.
SASInstitute sets the following requirement for the A00-262 exam: No required prerequisites; recommended hands-on experience with DataFlux Data Management Studio. 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/exams/a00-262.html before you register.
You can register for the SASInstitute SAS Data Quality using DataFlux Data Management Studio through the following official channels:
The A00-262 exam is delivered as In-person at Pearson VUE test centers or online proctored exam, 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 Data Quality using DataFlux Data Management Studio:
Official courses build the theory, and pairing them with the 0 practice questions from Actual4Dumps turns that knowledge into exam-ready answers.
Yes. Actual4Dumps offers a free PDF demo for the SASInstitute SAS Data Quality using DataFlux Data Management Studio, 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 A00-262 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.
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The SASInstitute SAS Data Quality using DataFlux Data Management Studio is organized into 6 domains. Among the first ones are Data Standardization & Quality Knowledge Base (20%), Advanced Techniques (8%), Business Rules & Monitoring (12%), and the remaining domains cover the rest of the official objectives. For the complete topic breakdown with every subtopic, see the full A00-262 exam outline above on this page.
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