A00-215 Exam Dumps : SAS Certified Associate: Programming Fundamentals Using SAS 9.4

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.

References:

• SAS documentation on the BY statement, SAS Institute.

The code creates two datasets, preteen and teen, based on the age variable from the sashelp.class dataset. The if statement checks each observation, and if the age is less than 13, the observation is written to the preteen dataset; otherwise, the observation is written to the teen dataset.

From the provided frequency table, we can see that there are 7 observations with ages less than 13 (2 for age 11 and 5 for age 12), so the preteen dataset will have 7 observations. Since the sashelp.class dataset has a total of 19 observations, the remaining 12 observations (19 total - 7 preteen = 12 teen) will be written to the teen dataset.

Thus, the answer is: B. preteen will have 7 observations and teen will have 12 observations.

References:

• SAS documentation on the DATA step and IF-THEN/ELSE logic, SAS Institute.

The report shown is a cross-tabulation of 'Region' by 'Product'. The FREQ Procedure indicates that PROC FREQ has been used, and the presence of 'Frequency', 'Percent', 'Row Percent', and 'Column Percent' suggests that a cross tabulation (or contingency table) has been requested. The correct code for this output would include the tables statement to specify the two variables ('Region' and 'Product') with an asterisk between them, which indicates a request for a cross-tabulation of these two categorical variables, and the crosslist option to display the table in a cross-tabulated list format. Therefore, option D is the correct answer:

proc freq data=sashelp.shoes;

tables region*product / crosslist;

run;

Options A and C use the order=freq option incorrectly, as this option would order the table by frequency counts rather than providing a cross-tabulation. Option B is missing the crosslist option needed to produce the cross-tabulated format.