SASInstitute Clinical Trials Programming Using SAS 9.4 : A00-282

  • Exam Code: SASInstitute
  • Exam Name: Clinical Trials Programming Using SAS 9.4
  • Updated: Aug 24, 2026
  • Q & A: 144 Questions and Answers

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SASInstitute A00-282 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Validate Clinical Trial Data Reporting20%- Use PROC COMPARE and log review
- Programming validation techniques
- Validation principles
Topic 2: Transform or Summarize Clinical Trials Data15%- Derive variables and study days
- Aggregation and transposition
- Data step manipulation
Topic 3: Clinical Trials Process5%- Clinical trial lifecycle and protocol
- Derive programming requirements from protocol and CRF
Topic 4: Clinical Trials Data Structures10%- Clinical domain structures
- CDISC standards: SDTM, ADaM
- Define.xml and dataset specifications
Topic 5: Regulatory Submissions5%- ICH and FDA guidelines
- Compliance for clinical data reporting
Topic 6: Apply Statistical Procedures for Clinical Trials15%- PROC MEANS, FREQ, TABULATE
- Basic statistical analysis for clinical data
Topic 7: Macro Programming for Clinical Trials15%- Debugging macros
- Macro variables and parameters
- Create and call macros
Topic 8: Report Clinical Trials Results10%- Produce tables, listings, and figures
- PROC REPORT and PROC PRINT
Topic 9: Manage Clinical Trials Data5%- Clean, merge, and subset data
- Use SQL and dictionary tables
- Access and explore clinical datasets
SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:

Question 1

What is the main focus of 21 CFR Part 11?

A. trial safety requirements
B. electronic submission requirements
C. trial protocol requirements
D. statistical calculation requirements


Question 2

Given the following entry in the SAS log:

Which alternate method could you use to?
- Transpose all data
- Not produce a warning message in the log

A. Use PROC TRANSPOSE with a WHERE clause to omit records with missing VISIT values
B. Use PROC DATASETS with SELECT and MODIFY statements
C. Use PROC COPY with SELECT statements
D. Use a DATA step with conditional OUTPUT statements


Question 3

This question will ask you to provide a section of missing code.
Given the input SAS data set LABRAW:

Which DO LOOP will create the output SAS data set WORK.LAB_NEW?

A. do i=1 to 2; visit=i; date=dat{i}; result=num{i}; output; end;
B. do i=1 to 2; visit=i; date=dat{i}; result=num{i}; end; output;
C. do i=1 to 2; do j=1 to 2; visit=i; date=dat{j}; result=num{j}; end; output; end;
D. do i=1 to 2; do j=1 to 2; visit=i; date=dat{j}; result=num{j}; output; end;


Question 4

The following SAS program is submitted:

How many data sets are created and how many observations are in the data set(s)?

A. 1 data set named PVALUES with 1 observation.
B. 2 data sets named PVALUES and PVALUES1 each with 1 observation.
C. 1 data set named PVALUES with 2 observations.
D. 2 data sets named PVALUES1 and PVALUES2 each with 2 observations


Question 5

You are working on validating the ADSL data set which contains the variables subject, sex, age, birth date, baseline height, and baseline weight. These variables are brought in from SDTM, and you derive new variables baseline BMI (from baseline height and weight) and age categorization (from age).

You get the following in the SAS log:

To reconcile this difference, which variable values will be most helpful to provide to the production programmer?

A. BLBMI
B. SUBJID BLHT BLWT BLBMI
C. AGECAT1 BLBMI
D. SUBJID BLBMI


Solutions:

Question 1
Answer: B
Question 2
Answer: D
Question 3
Answer: A
Question 4
Answer: B
Question 5
Answer: B

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