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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 Jul. 22, 2025 (see below)
Which PROC IMPORT step correctly creates the MYDATA,SALES data set from the SALES.SCV file?
The correct statement to import a CSV file into SAS and create a dataset is option B. The PROC IMPORT statement is used in SAS to read data from external files and create a SAS data set. Let's break down why option B is correct:
datafile= specifies the location and filename of the external data file. In this case, 'sales.csv' is the correct filename and format for a CSV file.
dbms=csv tells SAS that the format of the external data file is CSV (comma-separated values).
out=mydata.sales; specifies the name of the output SAS dataset. It consists of two parts: the libref mydata and the dataset name sales. This tells SAS to store the new dataset in a library called mydata with the dataset name sales.
Option A uses an incorrect syntax as it incorrectly specifies the data= option, which is not valid in this context. Also, the out= option is incorrectly quoted and terminated with a semicolon within the quotes.
Option C has a typo in the out= option (out=mydata.gales;), which incorrectly specifies the output dataset name. Additionally, it incorrectly specifies the data= option, which should actually be datafile=.
Option D has incorrectly quoted the out= option and uses a hyphen instead of an equals sign. Additionally, it does not use quotes around the filename, which may cause issues if the filename contains special characters or spaces.
Reference: SAS 9.4 documentation, specifically the PROC IMPORT statement: SAS Help Center: PROC IMPORT Statement
Which program correctly subnets the SASHELP. BASEBALL data set to include only the players in the East Division with 75 or more hits?
To subset data in SAS using the data step, the where statement is used to specify the conditions that observations must meet to be included in the new data set. The correct syntax for subsetting the SASHELP.BASEBALL data set to include only players in the 'East' Division with 75 or more hits is as follows:
data bball;
set sashelp.baseball;
where Division = 'East' and nHits >= 75;
run;
This code, as shown in option D, uses the where statement with the correct logical operator and to ensure that both conditions must be true for a record to be included in the new dataset. Options A, B, and C either use incorrect syntax or logical operations that do not match the required conditions for the subset. Option A has an incorrect combination of conditions, B uses two where statements which is not valid syntax, and C incorrectly uses the or operator which would include players not in the 'East' Division or with fewer than 75 hits.
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.
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