The correct code snippet is option D It correctly uses the BY statement with both PRODUCT_ID and the month extracted from SALES DATE using MONTH(SALES DATE). This ensures the summary is generated for eachproduct within each month- Option A is incorrect because it only groups by PRODUCT_ID and does not account for the monthly breakdown- Option B is incorrect because it only groups by month and does not consider individual products Option C is incorrect because it uses the OUTPUT statement incorrectly and would create one output row for each input row Option E is incorrect because it only groups by PRODUCT_ID and does not account for the monthly breakdown.

The correct option is A- The INPUT function is used to convert a character string into a numeric date value. The format 'YYMMDD8.' specifies the input format as 'YYYY-MM-DD' and the output format as numeric date. Option B is incorrect as it uses the 'DATE9_' format which is for a different date format. Options C and E use incorrect input formats. Option D simply assigns the character string to the numeric variable, which is incorrect.

All three options achieve the desired outcome by using the 'where' clause to filter rows based on the PRICE' variable, and either 'keep' or 'drop' to specify which variables to include. Option B is incorrect because it uses the statement, which is not valid for the 'proc export' statement. Option D is incorrect because it introduces an unnecessary condition to exclude 'PRODUCT ID' by comparing it to a blank space. The 'where' clause is the most suitable way to filter rows in PROC EXPORT for complex conditions.

Option E is the correct code snippet as it uses nested IF-THEN/ELSE statements and explicitly handles the 'else' condition to leave the 'Price' unchanged if the discount criteria are not met Options A and B only apply discounts and miss the 'else' condition. Options C and D have unnecessary 'else' statements that could lead to unexpected behavior- The 'else' statement ensures the original 'Price' is maintained if no discounts are applied.

The correct code snippet is option C. It sorts the data first by ProductCategory in ascending order, then within each category, by SalesAmount in descending order This achieves the desired sorting within each category. Option A sorts only by ProductCategory and SalesAmount together, not within each category. Option B sorts only by SalesAmount, disregarding product categories. Option D sorts by ProductCategory in descending order, which may not be the intended behavior. Option E is incorrect because it uses two separate BY statements, which will not achieve the desired sorting within each category.