Option D is the correct snippet It uses 'KEEP=' within the 'SET' statement to select only the 'ORDER_ID' and 'PRODUCT_ID' variables for output. The 'IF' statement filters the data to include only orders from January 2023. The 'TOTAL _ VALUE' variable is calculated within the DATA step- Option A is incorrect because it includes 'SALES_DATE' which is not needed in the final output_ Option B is incorrect because 'KEEP:' is used outside the 'SET' statement, which is not valid syntax. Option C is incorrect because it drops 'QUANTITY', 'PRICE', and 'DISCOUNT while still using them in the calculation. Option E is incorrect because it attempts to 'KEEP' the 'TOTAL _ VALUE' variable but the variable is not yet created at that point in the code.

Options A, B, and C all correctly filter the dataset to include only orders from the year 2022 and calculate the total order amount for each customer Option A uses the YEAR function to extract the year from the OrderDate variable and then compares it to 2022 Option B uses date literals and the AND operator to select orders within the specified date range. Option C uses the BETWEEN operator to achieve the same result as Option B. Option D uses the LIKE operator to compare the OrderDate with the string '%2022', which would not correctly filter for the entire year 2022. Option E sorts the output by OrderDate, which is not specified in the requirement Therefore, the correct options are A, B, and C.

The PROC SORT step in SAS is used to sort data sets by one or more variables. The syntax for the proc sort step requires the by statement to specify the variable(s) by which to sort the data. The correct answer is option A:
proc sort data=Names;
by Name;
run;
This sorts the data set by the variable 'Name' in alphabetical order, which matches the sorted NAMES data set shown in the question. Option B uses orderby, which is not a valid SAS statement. Option C sorts by 'Age', which would not give the same result as shown in the question. Option D also incorrectly uses orderby.

The correct answers are A and E. Both of these statements use the 'SET' statement to correctly combine data from both 'SALES' and 'ORDERS' data sets. Option A combines data from both data sets in a single 'SET statement. Option E combines data from both data sets using two separate 'SET statements. Options B, C, and D are incorrect because they either do not specify the library or use incorrect syntax in the 'SET statement. The 'SET statement requires the data set name to be separated by a space or semicolon to combine multiple datasets.

In the given DATA step, the do weeks=1 to 3; loop iterates three times for each row in the original WORK.RUN dataset, incrementing the miles value by 5 for each iteration and outputting a row after each increment. However, no output; statement is given within the loop to create the extra rows, which means only the last iteration of the loop will be outputted for each original row. Hence, the miles value for each name will be incremented by 15 (5 miles for each of the 3 weeks).
The original data set WORK.RUN has:
John 16
Mary 20
After the DATA step, it should be:
John 31
Mary 35
Each name appears only once because without an explicit output; statement inside the loop, only the final iteration is outputted. The variable weeks is not retained in the output dataset, as it is not used outside the loop and no output statement is used inside the loop. Thus, option D is correct.
References:
* SAS documentation on DATA step processing, SAS Institute.