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SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:

1. How does the code shown below help to validate report output?
data check;
set datlib.medhist;
mh_len = length(trim(mhcom1));
run;
proc freq data=check;
tables mh_len;
run;

A) It helps the programmer determine which observation has the longest value for mhcom1.
B) It shows all the values for mhcom1 in the results.
C) It writes all values of the mhcom1 variable that are longer than 200 in the results.
D) It shows all the values for the length of mhcom1 in the results.

2. 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) SUBJID BLHT BLWT BLBMI
B) AGECAT1 BLBMI
C) BLBMI
D) SUBJID BLBMI

3. Which OPTION displays all SAS language statements generated during macro execution?

A) MLOGIC
B) MRECALL
C) MSTORED
D) MPRINT

4. Which statement outputs all possible missing values of LBORRES?

A) if missing(LBORRES) then output;
B) if LBORRES in (. ._) then output;
C) if LBORRES = . then output;
D) if LBORRES <= .A then output;

5. Which function would be used to determine the number of elements in an existing array?

A) count ()
B) dim ()
C) n ()
D) sum ()

Solutions: