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SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:

1. You have been asked to import an Excel spreadsheet.
What will lead to substantial differences between the original Excel spreadsheet and the resulting SAS data set?

A) multiple value types within a single row
B) the number of columns to be read from the Excel file
C) the number of rows to be read from the Excel file
D) multiple value types within a single column

2. 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) Study Data Tabulation Model (SDTM)
D) Analysis Data Model (ADaM)

3. When writing a validation program using independent programming, which two actions conform to good programming practices?
(Choose two.)

A) Copy statistical code directly from the SAP.
B) Delete subjects from the production side that are causing differences with the validation data set.
C) Ensure the production program has been run prior to compare.
D) Copy statistical code directly from the production program.

4. The following question will ask you to provide a line of missing code. The following program is submitted to output observations from data set ONE that have more than one record per patient.

Please enter the line of code that will correctly complete the program. Note: Case is ignored. Do not add leading or trailing spaces to your answer.

A) id;
PTON run;
B) BYSUBJID;
run;
C) BYSUBJID;
D) BYSUBJID;
BYSUBJID;

5. The VISIT data set is multiple records per subject, sorted by usubjid vistdtc vistm and contains the following variables:

The DEATH data set is one record per subject, sorted by usubjid vistdtc vistm and contains the following variables:

Which program will combine the DEATH and VISIT data sets by matching records?

A) data data_1;
merge death visit;
by usubjid vistdtc vistm;
run;
B) data data_1;
merge death visit;
run;
C) data data_1;
merge death visit;
by usubjid vistm vistdtc;
run;
D) data data_1;
set death visit;
by usubjid vistdtc vistm;
run;

Solutions: