The correct answer is option A The IN= option within the MERGE statement creates variables that indicate whether a record was found in the corresponding dataset In this scenario, we want to keep only records from 'SALES' (sales_in = 1) that have a corresponding match in 'CUSTOMERS' (cust_in = 1)- Therefore, the condition 'if sales_in and cust_in' ensures only records with a match in both datasets are included in the final dataset.

Option B is the only correct code segment. The IF-THEN-ELSE statements are correctly structured to cover all possible scenarios of the sales amount. Option A has incorrect logic for the 'Medium' category as it only checks if SALES AMOUNT is less than 5000, not also greater than or equal to 1000. Option C is incorrect because 'elseif is not a valid keyword in SAS, it should be 'else if. Option D has redundant 'else if statements and is not efficient. Option E has the same problem as option C with the use of 'elseif instead of 'else if. Therefore, only Option B correctly categorizes sales based on the provided criteria.

3

The correct answer is option D. This statement uses the 'FIRSTOrderDate' option in the OUTPUT statement, which ensures that the 'OrderDate' variable is included in the output dataset and retains the value of 'OrderDate' for the first occurrence of each unique combination of 'OrderStatus' and 'OrderDate'. Option A incorrectly calculates the total number of orders for each combination of 'OrderDate' and 'OrderStatus'. Option B uses the correct order of variables in the CLASS statement but does not include the 'OrderDate' variable in the output. Option C uses an incorrect syntax for including the 'OrderDate' variable. Option E includes 'OrderDate' in the output but uses 'LAST.OrderDate', which would give the last occurrence of 'OrderDate' for each combination. Therefore, Option D is the most accurate way to achieve the desired output.

The message "NOTE: The data set WORK.TEMP_DATA has 0 observations and 10 variables." Indicates that the data set WORK. TEMP DATA has been successfully created, but it contains no data (0 observations). The 10 variables are defined, but there are no rows of data populated.