Reviewing on the subway, over lunch, or in the last quiet hour of the day — the online engine version of the SASInstitute Clinical Trials Programming Using SAS 9.4 materials supports any electronic equipment, so your A00-282 exam practice goes wherever you go in 2026. Meanwhile the PC test engine at RealValidExam recreates the real exam atmosphere for your focused weekend sessions.
SASInstitute A00-282 Exam Overview:
| Certification Vendor: | SAS Institute |
|---|---|
| Exam Name: | Clinical Trials Programming Using SAS 9.4 |
| Exam Number: | A00-282 |
| Exam Price: | $180 USD |
| Real Exam Qty: | 60-70 |
| Exam Format: | Short-answer, Multiple choice |
| Available Languages: | English |
| Certificate Validity Period: | 5 years |
| Related Certifications: | SAS Certified Professional: Advanced Programming Using SAS 9.4 SAS Certified Specialist: Base Programming Using SAS 9.4 |
| Passing Score: | 68% |
| Exam Duration: | 110 minutes |
| Recommended Training: | Foundations of Clinical Trials Programming SAS Clinical Trials Programming Curriculum |
| Exam Registration: | Pearson VUE Registration SAS Certification Portal |
| Sample Questions: | ![]() |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Hold SAS Certified Specialist: Base Programming Using SAS 9.4 or SAS Certified Professional: Advanced Programming Using SAS 9.4; recommended 6+ months clinical trials programming experience |
| Official Syllabus URL: | https://www.sas.com/en_us/certification/credentials/foundation-tools/clinical-trials-programming.html |
SASInstitute A00-282 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Clinical Trials Process | 5% | - Clinical trial lifecycle and protocol - Derive programming requirements from protocol and CRF |
| Transform or Summarize Clinical Trials Data | 15% | - Aggregation and transposition - Derive variables and study days - Data step manipulation |
| Regulatory Submissions | 5% | - ICH and FDA guidelines - Compliance for clinical data reporting |
| Report Clinical Trials Results | 10% | - PROC REPORT and PROC PRINT - Produce tables, listings, and figures |
| Validate Clinical Trial Data Reporting | 20% | - Validation principles - Use PROC COMPARE and log review - Programming validation techniques |
| Macro Programming for Clinical Trials | 15% | - Debugging macros - Create and call macros - Macro variables and parameters |
| Apply Statistical Procedures for Clinical Trials | 15% | - PROC MEANS, FREQ, TABULATE - Basic statistical analysis for clinical data |
| Clinical Trials Data Structures | 10% | - Define.xml and dataset specifications - CDISC standards: SDTM, ADaM - Clinical domain structures |
| Manage Clinical Trials Data | 5% | - Access and explore clinical datasets - Clean, merge, and subset data - Use SQL and dictionary tables |
Common Questions About the SASInstitute Clinical Trials Programming Using SAS 9.4 Exam
Registration for the A00-282 exam goes through the official channels listed here:
Book a date once your practice results hold steady — a fixed exam day turns casual study into committed preparation.
The official outline groups the A00-282 exam content into weighted domains, including:
- Validate Clinical Trial Data Reporting (20%)
- Report Clinical Trials Results (10%)
- Macro Programming for Clinical Trials (15%)
The three versions of the SASInstitute Clinical Trials Programming Using SAS 9.4 materials at RealValidExam all follow this objective structure, so whichever format you study in, you are working on what the exam actually covers.
The A00-282 exam contains 60-70 questions to be completed in 110 minutes minutes. Simulating that exact pressure in advance is straightforward: the PC test engine version of the RealValidExam materials recreates the real exam environment, so timed practice feels like the genuine article.
Yes. Privacy is a stated commitment, not a footnote: your address, email, and other personal details are never revealed to any other person or institution while you purchase or use the SASInstitute Clinical Trials Programming Using SAS 9.4 materials. Payment is processed by Credit Card through a secure channel, adding a second layer of protection to the transaction. And if anything ever feels unclear, our service staff is reachable by email anytime and replies promptly.
Hold SAS Certified Specialist: Base Programming Using SAS 9.4 or SAS Certified Professional: Advanced Programming Using SAS 9.4; recommended 6+ months clinical trials programming experience
The A00-282 exam is the official test behind the SASInstitute Clinical Trials Programming Using SAS 9.4 certification from SASInstitute. It verifies that you can apply the published exam objectives in practical scenarios, and the credential signals to employers that your skills have been measured against an industry-recognized standard — useful whether you are an office worker aiming at promotion or a student building a foundation.
Three versions, designed for different study habits. The PDF version is easy to read and print, ideal for annotating on paper. The SOFT version is a PC test engine that simulates the real A00-282 exam environment, helping you adapt to exam mode before the day arrives. The APP version is an online test engine that supports any electronic equipment — phone, tablet, or computer — so you can review on the subway or anywhere else. All three contain the same 144 practice questions for the A00-282 exam with expert-verified answers.
You need 68% to pass, and the exam fee is $180 USD. Treating the fee as a one-time investment is a good mindset: steady timed practice until your scores sit comfortably above the passing line is far cheaper than a retake.
Yes, the following official training options are listed for A00-282 exam candidates:
Official courses build the knowledge base; the three practice versions from RealValidExam build the exam-day fluency. Most candidates benefit from both.
SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:
Given the following SCORE data set:
Based on the concept of Last Observation Carried Forward, what will be the value for SCORE for the Week 12 -
- A. 152
- B. 157
- C. 153
- D. missing
Correct Answer: B 🗳️
Identify the CDISC model with the following characteristics:
XML-based content and format standard facilitates the archive and interchange of the metadata and data for clinical research provides an accurate audit trail that is 21 CRF Part II compliant
- A. Trial Design Model (TDM)
- B. Operational Data Model (ODM)
- C. Analysis Data Model (ADaM)
- D. Study Data Tabulation Model (SDTM)
Correct Answer: B 🗳️
Which is NOT required in the ADSL data set?
- A. SITEID
- B. AGEU
- C. FASFL
- D. AGE
Correct Answer: C 🗳️
Which function would be used to determine the number of elements in an existing array?
- A. dim ()
- B. count ()
- C. n ()
- D. sum ()
Correct Answer: A 🗳️
The first six (6) records from the LABS data set are shown below:
The following SAS program is written to reshape this data set and place it in a new data set named LBTR.
proc transpose data=labs out=lbtr(rename = (col1 = value));
by subjid sampldat;
var Calcium Glucose Hemoglobin;
run;
Which of the following DATA steps produces a data set that is equivalent to the LBTR data set created by the PROC TRANSPOSE step above?
- A. data lbtr2(drop = i calcium glucose hemoglobin);
set labs;
array orig[3] calcium glucose hemoglobin;
array testcds[3] $ 10 _temporary_ ("CALCIUM" "GLUCOSE" "HEMOGLOBIN");
do i = 1 to 3;
value = orig[i];
_name_ = testcds[i];
output;
end;
run; - B. data lbtr2(drop = i calcium glucose hemoglobin);
set labs;
array orig[3] calcium glucose hemoglobin;
array testcds[3] $ 10 ("CALCIUM" "GLUCOSE" "HEMOGLOBIN");
do i = 1 to 3;
value = orig[i];
_name_ = testcds[i];
end;
output;
run; - C. data lbtr2(drop = i calcium glucose hemoglobin);
set labs;
array orig[3] calcium glucose hemoglobin;
array testcds[3] $ 10 ("CALCIUM" "GLUCOSE" "HEMOGLOBIN");
do i = 1 to 3;
value = orig[i];
_name_ = testcds[i];
output;
end;
run; - D. data lbtr2(drop = i calcium glucose hemoglobin);
set labs;
array orig[3] calcium glucose hemoglobin;
array testcds[3] $ 10 _temporary_ ("CALCIUM" "GLUCOSE" "HEMOGLOBIN");
do i = 1 to 3;
value = orig[i];
_name_ = testcds[i];
end;
output;
run;
Correct Answer: A 🗳️







