Options A and D are correct. Both options use the WHERE statement (either explicitly or implicitly) to filter rows in the source dataset based on the product value. Option A uses the IN operator to select rows where 'product' is either 'laptop' or 'tablet. Option D uses an IF statement with a THEN OUTPUT statement to achieve the same filtering behavior. Option B is incorrect because it uses an IF statement without an OUTPUT statement, which means it will not create a new dataset but will simply process the data without creating a new output dataset. Option C is also incorrect because it uses an OUTPUT statement without any condition, which means it will create a new dataset with all rows from the source dataset, not just those where the product is 'laptop' or 'tablet'. Option E is incorrect because it uses an OUTPUT statement with an incorrect target dataset name. The OUTPUT statement in a DATA step automatically creates a new dataset with the name specified in the DATA statement. Therefore, the correct code snippets are.

The correct code snippet is Option A In SAS, the ' if statement is used to filter observations during dataprocessing. The statement checks if the specified conditions are met- If the condition is true, the observation is processed; otherwise, it is excluded- In this scenario, the 'if statement checks if both 'STATE = 'CA" and 'SALES > 10000' are true. Only those observations satisfying both conditions will be included in the new dataset 'HIGH SALES' Option B uses 'where which is incorrect as it is used for filtering observations before the data step- Options C, D, and E are incorrect as they do not correctly combine the two conditions required to filter the observations. Option C has an incorrect syntax Option D processes all observations from 'CA' and all observations with sales greater than 10000 but not both conditions. Option E includes an unnecessary 'output' statement.

The correct answers are and Option A defines the length of the variable 'CustomerName' to be 20 bytes and uses the 'substr- function to truncate the name if it exceeds 20 characters. Option D also defines the length to be 20 bytes using 'length CustomerName $ (using dollar sign to define character variables) and uses the 'substr' function to truncate the name. Option B uses the wrong syntax for defining character variable length. Option C attempts to use the 'scan' function to truncate the name, but it would only work if the name has spaces and would not truncate it correctly. Option E truncates the name but adds' ' at the end of names longer than 20 characters. While this might be useful, it is not the most straightforward approach for simply truncating names to a specific length.

Options A, B, and C all achieve the desired summarization of total sales by product. Option A uses PROC SQL to create a new dataset 'SALES_SUMMARY with the summarized results. Option B uses PROC SUMMARY to calculate the sum of 'SALES_AMOUNT grouped by 'PRODUCT_NAME' and outputs the results to the 'SALES_SUMMARY' dataset. Option C utilizes PROC MEANS to calculate the sum of 'SALES_AMOIJNT and outputs the results to the 'SALES SUMMARY dataset. Option D is incorrect because it does not use an aggregation function like SUM, and it is attempting to create a new variable called TOTAL SALES within the data step, not in a summary dataset. Option E is incorrect as it uses PROC TRANSPOSE, which is used for transposing data, not summarizing by groups. While all three correct options provide the desired summarization, the choice depends on personal preference and the desired level of control over the output.

The TITLE statement can be used with macro variables to dynamically generate titles for different reports. The FOOTNOTE statement allows you to include consistent information in the footer- To display the current date in the footer, the %SYSFUNC macro is used with the DATE function. Option A is incorrect as the TITLE statement only displays the last title specified in the PROC step. Option E is incorrect because it contradicts the goal of creating unique titles for different departments. While it's possible to use a macro for the footer, it is not the most efficient way for a consistent date.