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SASInstitute A00-282 exam is designed for individuals who are interested in becoming certified clinical trials programmers. Clinical Trials Programming Using SAS 9.4 certification is recognized globally and validates the skills and knowledge required to develop and manage clinical trial data using SAS 9.4. A00-282 exam covers topics such as SAS programming, data manipulation techniques, statistical procedures, and reporting of clinical trial data.

SASInstitute A00-282: Clinical Trials Programming Using SAS 9.4 is an exam that tests the knowledge and skills of individuals in the field of clinical trials programming. A00-282 Exam is designed for SAS programmers who work in the pharmaceutical industry and are involved in the design, implementation, and analysis of clinical trials. A00-282 exam covers a wide range of topics related to clinical trials programming, including data management, statistical analysis, and report generation.

SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions (Q66-Q71):

NEW QUESTION # 66
This question will ask you to provide a missing option.
The following program is submitted to create a transport file for multiple data sets:

Which option will limit the files that are copied to type data?

• A. intype=data
• B. entrytype=data
• C. memtype=data
• D. include=data

Answer: C

NEW QUESTION # 67
What is the primary purpose for specifying identifier variables across SDTM domains?

• A. To satisfy regulatory conditions
• B. To include the appropriate study information
• C. To include the appropriate subject information
• D. To uniquely reference each record

Answer: D

NEW QUESTION # 68
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;
  set death visit;
  by usubjid vistdtc vistm;
  run;
• D. data data_1;
  merge death visit;
  by usubjid vistm vistdtc;
  run;

Answer: A

NEW QUESTION # 69
This question will ask you to provide lines of missing code.
Given the following SCORE data set:

Variable LOCF contains the imputed score that would replace the missing SCORE value (based on last observation carried forward method).
Which SAS statements complete the program?

• A. LOCF = lag(score); if first.subject then LOCF = .; if score