SAS Programming Associate (A00-215) Certification Exam Sample Questions

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SAS A00-215 Sample Questions:

01. Two data sets, transit.route_a and transit.route_b, are each already sorted by the variable stop_time. An analyst submits: data transit.combined; set transit.route_a transit.route_b; by stop_time; if first.stop_time then flag = "Y"; run;
What does this DATA step do?
a) It interleaves the two data sets into stop_time order and flags the first observation of each distinct stop_time value with flag = "Y"
b) It performs a match-merge of route_a and route_b by stop_time, combining their variables side by side
c) It concatenates route_b entirely after route_a, ignoring stop_time order, and flags only the very first observation overall
d) It raises an error, because a BY statement cannot be used with a SET statement that lists two data sets, the same restriction that would apply if the two data sets had no variables in common at all.
 
02. A bike-share operator stores each day's completed rides in the data set bikeshare.rides_2026.
Which statement correctly reads every observation from this data set into a new DATA step for further processing?
a) merge bikeshare.rides_2026;
b) input bikeshare.rides_2026;
c) set bikeshare.rides_2026;
d) read bikeshare.rides_2026;
 
03. A SAS program is built from a sequence of statements grouped into steps (DATA steps and PROC steps).
Which statement marks the end of a step and signals SAS to compile and execute the statements that came before it?
a) finish;
b) run;
c) endsas;
d) quit;
 
04. A food truck records daily sales in a plain-text file, foodtruck_sales.txt, with fields separated by a pipe character (|) instead of a comma.
Which PROC IMPORT step correctly reads this file, using the first row as variable names?
a) proc import datafile='foodtruck_sales.txt' out=work.sales dbms=dlm replace; delimiter='|'; getnames=yes; run;
b) proc import datafile='foodtruck_sales.txt' out=work.sales dbms=dlm replace; getnames=yes; run;
c) proc import datafile='foodtruck_sales.txt' out=work.sales dbms=tab replace; getnames=yes; run;
d) proc import datafile='foodtruck_sales.txt' out=work.sales dbms=csv replace; getnames=yes; guessingrows=20; run;
 
05. Every SAS data set is made up of two logical parts.
Which statement correctly describes the descriptor portion of a SAS data set, as distinct from its data portion?
a) The descriptor portion holds the actual observation values, while the data portion holds metadata such as variable names and types.
b) SAS data sets do not have a descriptor portion; only a single data portion exists, storing variable names, types, and observation values together in one undivided structure, with no separate metadata section stored anywhere.
c) The descriptor portion is only generated when PROC PRINT is run, and disappears afterward.
d) The descriptor portion holds metadata about the data set, such as variable names, types, lengths, formats, and labels, while the data portion holds the actual observation values.
 
06. A museum wants to review only member-ticket transactions from a mixed ticket-sales extract.
proc print data=work.museum_tickets; where ticket_type = 'Member'; run;
What does the WHERE statement do in this PROC PRINT step?
a) It requires work.museum_tickets to already be sorted by ticket_type before the step will run.
b) It restricts the printed report to only those observations where ticket_type equals 'Member', without creating a new data set.
c) It sorts the observations so that 'Member' ticket_type rows appear first, followed by the rest.
d) It creates a permanent subset data set named Member from work.museum_tickets, the same kind of output data set a DATA step subsetting IF or a WHERE= data set option would produce.
 
07. PROC MEANS already reported the mean, minimum, and maximum of kwh_output in solar.dailyoutput.
An analyst additionally wants percentiles, extreme values, and a stem-and-leaf plot to explore the distribution more closely.
Which procedure provides these additional diagnostics that PROC MEANS does not produce by default?
a) proc contents data=solar.dailyoutput; run;
b) proc freq data=solar.dailyoutput; tables kwh_output; run;
c) proc univariate data=solar.dailyoutput; var kwh_output; run;
d) Running proc means data=solar.dailyoutput; var kwh_output; run; a second time
 
08. Consider the following DATA step:
data garden.plots;
set garden.raw_signups;
plot_status = 'Active';
if waitlisted = 1 then plot_status = 'Waitlisted - Spring';
run;
No LENGTH statement precedes these assignments. For an observation where waitlisted equals 1, what value is stored in plot_status?
a) Waitli
b) Active
c) Waitlisted - Spring
d) A missing value
 
09. A clinic's appointment log, work.clinic_appts, contains repeated rows for the same patient on the same visit date, sometimes with different appointment times captured from separate check-in scans.
proc sort data=work.clinic_appts out=work.clinic_dedup nodupkey; by patient_id visit_date; run;
When two observations share the same combination of patient_id and visit_date, which one does PROC SORT keep in work.clinic_dedup?
a) The observation with the largest appt_time value, because NODUPKEY also sorts secondarily on every other variable in the data set.
b) The first observation for that BY-group combination in the sorted order, with ties among identical BY values resolved by their original relative position in the input.
c) Both observations are retained, but a duplicate-indicator variable is added so the programmer can filter them later.
d) The entire BY group is removed whenever any duplicate is found, so neither observation survives, clearing out every observation that shares a BY value the same way a full DELETE statement would clear a WHERE-matched group.
 
10. Running PROC CONTENTS on bookstore.sales_extract produces a header showing Observations: 842 and Variables: 9.
What do these two numbers represent?
a) 842 is a data set creation timestamp encoded as a serial number, and 9 is the SAS engine version used to create the file.
b) 842 is the storage length of the data set in bytes, and 9 is the number of labels that have been defined.
c) 842 is the number of rows (sales transactions) in the data set, and 9 is the number of columns (fields) it contains.
d) 842 is the number of distinct values found across all variables, and 9 is the number of procedures that have been run against the data set.

Answers:

Question: 1 Answer: a Question: 2 Answer: c
Question: 3 Answer: b Question: 4 Answer: a
Question: 5 Answer: d Question: 6 Answer: b
Question: 7 Answer: c Question: 8 Answer: a
Question: 9 Answer: b Question: 10 Answer: c

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