The SAS A00-231 exam validates your ability to write and optimize SAS code for data manipulation, analysis, and reporting. This credential demonstrates competency as a SAS Base Programming Specialist and is essential for professionals working with SAS 9.4 in data-focused roles. This page maps the exam syllabus, explains question formats, and guides your study strategy so you can prepare efficiently and confidently.
Use this topic map to guide your study for SAS A00-231 (SAS 9.4 Base Programming - Performance-Based Exam) within the SAS Base Programming Specialist path.
The A00-231 exam combines multiple-choice items and scenario-based questions to assess both conceptual knowledge and practical problem-solving. Questions reflect real-world SAS programming tasks and require you to apply logic, not just recall facts.
Questions increase in complexity and emphasize practical application over memorization. Success requires hands-on coding experience and the ability to reason through multi-step workflows.
Effective preparation combines structured topic review with hands-on practice. Allocate study time proportionally to each domain, and use practice questions to identify weak areas early. Regular coding exercises reinforce syntax and build confidence in real scenarios.
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Manage Data and Generate Reports and Output typically account for the largest portion of the exam, as these skills are most critical in day-to-day SAS programming. Access and Create Data Structures and Error Handling are also important but represent a smaller percentage of questions. Focus your study time accordingly, but ensure you have solid fundamentals across all four domains.
In practice, you first access raw data (Access and Create Data Structures), then clean and reshape it (Manage Data), check for errors throughout (Error Handling), and finally produce reports (Generate Reports and Output). Understanding these connections helps you write efficient, error-free code and prepares you for real-world projects where all four skills work together seamlessly.
Most candidates benefit from at least three to six months of hands-on SAS programming experience, including writing DATA steps, running procedures, and debugging code. Prioritize labs that involve reading external files, merging datasets, calculating new variables, and creating formatted output. Practical experience is more valuable than passive study.
Frequent errors include misunderstanding the difference between DATA step and PROC operations, overlooking missing value handling, and misinterpreting SAS log messages. Many candidates also struggle with BY-group processing and merge logic when datasets are not properly sorted. Review these topics carefully and test your code against edge cases during practice.
In your final week, take a full-length timed practice test to simulate exam conditions and identify remaining weak areas. Review the explanations for any questions you missed, and spend time coding solutions to scenario-based problems. Avoid learning new topics; instead, reinforce what you already know and build confidence through repetition and review.
SIMULATION
Scenario:
This project will use data set cert.input13. At any time, you may
save your program as program13 in cert\programs.
This data set contains 1001 observations and 2 variables:
o Date1, a numeric variable representing an unformatted
SAS date value. Example: 12001.
o Charnum, a character variable representing a monetary
amount. Example: $50,000.
Write a SAS program that will:
o Save the new data set as results.output13.
o Create a new variable Chdate that converts
the datel variable to a character variable that is in the
format ddmonyyyy, such as 11NOV1992.
o Create a new variable num1 that converts
the Charnum variable to a numeric variable.
What is the average (mean) of the num1 variable for the entire data set?
Enter your numeric answer in the space below (Round your answer to the nearest
integer).
data results.output13;
set cert.input13;
Chdate=put(date 1,date9.);
num 1=input(Charnum,dollar7.);
run;
proc means data=results.output13;
var num 1;
run;
SIMULATION
Scenario:
Continuing with the previous program (program27), add a PROC SORT step that satisfies the following criteria:
o Creates the output dataset results.output27b
o Sorts the observations by order.
o Removes duplicate values of the first occurrence found during the sort.
What is the value of Employee_ID for observation 98 inresults.output27b?
proc sort data=cert.input27 out=results.output27b nodupkey;
by descending postal_code;
run;
proc print data=results.output27b (firstobs=98 obs=181);
var employee_ID;
run:
SIMULATION
This project will use data set cert.input08a and cert.input08b. At
any time, you may save your program
as program08 in cert\programs.
Both data sets contain a common numeric variable named ID.
Write a program that will use a SAS DATA Step to:
o Combine data sets cert.input08a and cert.input08b by
matching values of the ID variable.
o Write only observations that are in both data sets to a
new data set named results.match08.
o Write all other non-matching observations from either
data set to a new data set named results.nomatch08.
o Exclude all variables that begin with
"ex" from results.nomatch08.
How many observations (rows) are inresults.match08?
Enter your numeric answer in the space below:
SAS code that could be used to solve this project:
proc sort data=cert.input08a out=work.input08a;
by ID;
run;
proc sort data=cert.input08b out=work.input08b;
by ID;
run;
data results.match08 results.nomatch08 (drop=ex: );
merge work.input08a (in=a) work.input08b (in=b);
by ID;
if a and b then output results.match08;
else output results.nomatch08;
run;
proc contents data=results.match08;
run:
proc contents data=results.nomatch08;
run;
The correct answer is: 1200
SIMULATION
Scenario:
This project will use data setcert.input04. At any time, you may save your program asprogram04incert\programs. Write a SAS program that will create the data setresults.output04.
In this program, complete the following mathematical actions, in the following order:
Round VAR1 and VAR2 to the nearest integer values.
Multiply the rounded VAR1b y the rounded VAR2 and assign the new value to VAR3.
Add VAR12 through VAR19 (8 variables) together, ignoring missing values. Assign the sum to VAR20.
For observation 16, what is the value ofVAR20? Enter your numeric answer in the space below. Round your answer to the nearest whole number. Save your program asprogram04.sasincert\programs before continuing with the next project
SAS code that could be used to solve this project:
data results.output04;
set cert.input04;
var3=round(var1,1)*round(var2,1);
var20=sum(of var12-var19);
run;
proc print data=results.output04 (obs=16 firstobs=16);
var var3 var20;
run;
If you got this question wrong because you didn't round to the nearest whole number, please know that the actual exam will restrict you to entering only a whole number to prevent this from occurring. The correct answer is: 3175
