- Exam Code: A00-221
- Exam Name: SAS Big Data Programming and Loading
- Updated: Sep 15, 2026
- Q & A: 0 Questions and Answers
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| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | SAS Big Data Programming and Loading |
| Exam Number: | A00-221 |
| Exam Format: | Interactive, Short-answer, Multiple-choice |
| Exam Duration: | 105 minutes |
| Real Exam Qty: | 60-65 |
| Passing Score: | 68% |
| Exam Price: | $180 USD |
| Available Languages: | English |
| Certificate Validity Period: | Credential retired August 31, 2021; earned credentials do not expire |
| Related Certifications: | SAS Big Data Preparation, Statistics, and Visual Exploration (A00-220) |
| Recommended Training: | DS2 Programming Essentials with Hadoop Getting Started with SAS In-Memory Statistics Introduction to SAS and Hadoop |
| Exam Registration: | Pearson VUE Registration |
| Exam Way: | In-person at Pearson VUE test centers / Online proctored |
| Pre Condition: | No formal prerequisites; recommended 6+ months SAS programming experience or completion of SAS Programming 1 & 2 courses |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/exam-content-guides/big-data-programming.html |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Manipulation with PROC IMSTAT | 25% | - Manipulating in-memory data - Executing IMSTAT procedures - Producing graphs with PROC IMSTAT - Using high-performance procedures with SAS LASR Analytic Server |
| Topic 2: Hadoop Programming | 15% | - Writing Pig programs for ETL and large dataset analysis - Hadoop architecture overview - Command-line tools for data manipulation and loading - Writing Hive programs for table creation and querying |
| Topic 3: SAS and Hadoop | 30% | - Query and manage Hive tables via SQL pass-through - Access Hadoop files using SAS/ACCESS LIBNAME - Using HADOOP procedure and Hadoop FILENAME statement - Baseline requirements for interacting with Hadoop |
| Topic 4: SAS DS2 Programming | 30% | - Reading data with DS2 - Working with Methods, Packages, and Threads - Writing DS2 programs - Working with variables, arrays, and ANSI SQL data types - Using expressions and functions in DS2 |
The SASInstitute SAS Big Data Programming and Loading is the official SASInstitute exam that leads to the SAS Certified Big Data Professional Using SAS 9 certification at the Specialist / 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 Big Data Preparation, Statistics, and Visual Exploration (A00-220), so it can serve as a solid step in a broader certification path.
The A00-221 exam has 60-65 questions in total and must be completed within 105 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 105 minutes limit, and repeat until you can finish with a few minutes left for review.
The passing score for the A00-221 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 A00-221 exam: No formal prerequisites; recommended 6+ months SAS programming experience or completion of SAS Programming 1 & 2 courses. 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/exam-content-guides/big-data-programming.html before you register.
You can register for the SASInstitute SAS Big Data Programming and Loading through the following official channels:
The A00-221 exam is delivered as In-person at Pearson VUE test centers / Online proctored, 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 Big Data Programming and Loading:
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 Big Data Programming and Loading, 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 A00-221 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 Big Data Programming and Loading is organized into 4 domains. Among the first ones are SAS DS2 Programming (30%), SAS and Hadoop (30%), Data Manipulation with PROC IMSTAT (25%), and the remaining domains cover the rest of the official objectives. For the complete topic breakdown with every subtopic, see the full A00-221 exam outline above on this page.
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