Option C is the correct answer. The BY statement specifies the variables to sort by, and the order is important. 'PRODUCT_ICY is sorted first in ascending order, followed by 'SALES_DATE' in descending order. The DESCENDING keyword explicitly specifies the descending order for 'SALES_DATE'. Options A and B have incorrect order of sorting, while option D sorts by 'SALES_DATE' first and then 'PRODUCT ID'. option E uses nested BY statements, which is not the intended way to sort by multiple variables.

The code uses the function with the 'monyy6 format to extract the month and year from the 'ORDER DATE' variable and store them in 'MONTH' and 'YEAR' respectively. The 'sum()' function aggregates the 'PRODUCT NAME' values for each month and year, storing the result in 'TOTAL SALES'. The 'by' statement ensures the aggregation happens within each month and year group. Option A uses the 'month.' format, which wouldn't include the year Option B uses 'proc sqr but doesn't specify the desired format for the month (would be numeric). Option C uses 'montyy.' which is a date format, not the desired month and year format Option E uses 'proc summary' but doesn't format the month and year in the desired format.

Both options C and E are correct. Option C uses PROC MEANS to calculate the mean salary for each department, filtering employees based on 'YEARS_OF SERVICE' and utilizing the OUTPUT statement to store the results. Option E uses PROC SQL with the AVG function and GROUP BY to achieve the same result. Option A is incorrect because it does not group by department Option B is incorrect because it does not filter based on 'YEARS OF_SERVICE'. Option D is incorrect because it uses the SUM and COUNT functions without considering grouping by department. This question focuses on the practical application of calculating average salary for different departments, demonstrating the power of the DATA Step and its alternatives like PROC MEANS and PROC SQL.

The correct answer is ''E''. The 'GETNAMES=YES option specifies that the first row of the CSV file should be used as column names. 'DATAROW=I' specifies that the data starts from the first row This is important because the CSV file has a header row- 'DBMS=CSV specifies the type of file being imported. 'REPLACE ensures that the existing SAS dataset is replaced with the new data All other options are incorrect because they either omit important options or use incorrect values for the options.

While 'ods html' can generate an HTML file from SAS output, it does not inherently provide interactive functionality. To create interactive charts and tables, you would need to use a third-party library (like JavaScript libraries like D3js or Plotlyjs) in conjunction with the generated HTML file. Option E correctly combines using 'ods html' for basic output with the use of a third-party library to enhance the interactivity of the dashboard.