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SAS A00-215 Exam Questions
- Topic 1: Use PROC CONTENTS to view the descriptor portion of a data set/ Use the LIBNAME statement to read SAS data sets
- Topic 2: Use the LIBNAME statement to read SAS data sets/ Distinguish between syntax and logic errors
- Topic 3: Explain the compilation and execution process of the DATA step/ Recall general rules of DATA and PROC steps
- Topic 4: Use the LIBNAME statement to import/export an Excel file with XLSX engine/ Recall naming conventions used for SAS data sets and variables
- Topic 5: Use PROC SORT to sort a report based on values of a variable/ Recognize variable types (character and numeric)
- Topic 6: Use PROC FREQ to generate a frequency report/ Recognize general rules of SAS statements including global statements
- Topic 7: Use ODS to direct reports to external files/ Explain how to create and manipulate SAS date values
- Topic 8: Use a procedure to transfer a CSV file/ Use the LIBNAME statement to read SAS data sets
- Topic 9: Explain the function of iterative DO loops/ Recognize how SAS stores missing data/ Subset observations and variables
- Topic 10: Use PROC PRINT to generate a detail report/ Perform conditional processing/ Interpret the SAS log
- Topic 11: Use PROC MEANS to generate a summary report/ Use the DATA statement to create one or multiple data sets
- Topic 12: Use PROC FORMAT to define custom formats/ Use the SET statement to read a data set
- Topic 13: Identify methods to enhance reports/ Control the output of observations/ Explain how to combine data sets
- Topic 14: Create an accumulating variable/ Assign permanent attributes/ Recognize SAS Functions/ Create or update variables
Free SAS A00-215 Exam Actual Questions
Note: Premium Questions for A00-215 were last updated On Jun. 18, 2025 (see below)
Fill in blank
____ steps typically report, manage, or analyze data.
Enter your answer in the space above. Case is ignored.
In SAS, the DATA step is a powerful tool that allows programmers to perform a variety of tasks such as reporting, managing, and analyzing dat
a. The DATA step processes data one observation at a time, making it highly efficient for data manipulation tasks. It enables the creation of new datasets, modification of existing ones, and complex data transformations. Additionally, within a DATA step, you can use a wide range of programming statements and functions to calculate new variables, merge or sort datasets, and perform conditional processing. The flexibility and functionality provided by DATA steps make them a fundamental part of SAS programming for handling and preparing data for further analysis or reporting.
Given the following code:
Which variables are created with the BY statement?
In SAS, when you use a BY statement in a DATA step, SAS creates two temporary variables for each variable listed in the BY statement: one to indicate the first occurrence (FIRST.variable) and another to indicate the last occurrence (LAST.variable) of the value within the BY-group. Given the provided code and assuming that State is the variable used in the BY statement, SAS will create First.State and Last.State. Thus, option A is correct.
SAS documentation on the BY statement, SAS Institute.
Given the data sets AMERICIAN NATIONAL and results in the data set BASEBALL shown below:
Which DATA step correctly creates the BASEBALL data set?
The correct answer is B. The set statement in SAS can concatenate multiple datasets together. The AMERICAN and NATIONAL datasets appear to have the same structure and variables, so the set statement without any options will combine them into one dataset called BASEBALL. The order of the datasets in the set statement determines the order of the observations in the output dataset, and since there is no variable that needs renaming to match between the two datasets, option B is the correct answer.
SAS documentation on the set statement.
The SAS log of a submitted DATA step is shown below:
Which action resolve the error messages?
Which code uses the correct syntax to conditionally create the two variables age-Cat and account?
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