The code uses the 'intck' function to calculate the number of years between the hire date and today's date. The 'ifn' function is used to create a new variable 'tenure_group' and assign it the appropriate category based on the calculated tenure. Option B is incorrect because it incorrectly assigns 'Experienced' to employees with more than 5 years of tenure and 'Veteran' to employees with 1 to 5 years of tenure. Option C is incorrect because it incorrectly assigns 'Experienced' to employees with more than 5 years of tenure and Veteran' to employees with 1 to 5 years of tenure. Option D is incorrect because it incorrectly assigns 'Experienced' to employees with 1 to 5 years of tenure and Veteran' to employees with more than 5 years of tenure. Option E is incorrect because it incorrectly assigns 'Experienced' to employees with 1 to 5 years of tenure and 'Veteran' to employees with more than 5 years of tenure.

Both options A and C are correct. They use the 'intnx' function to calculate the date 30 days ago and compare it with the 'ORDER DATE' variable. The 'output' statement writes only those records that meet the condition to the new dataset 'RECENT_ORDERS'. The 'keep=ORDER_lD CUSTOMER_ID' clause ensures that only the specified columns are included in the output dataset. Option B uses 'drop' option, which will remove 'ORDER DATE from the output dataset. Option D and E use 'intnx' function with -31, which will calculate the date 31 days ago. Both options are incorrect as the question asks for records within the last 30 days, excluding today.

The correct code snippet is option B. The VALUE statement in PROC FORMAT defines a custom format named 'regionfmt It maps the original region values ('North America', 'South America', 'Europe') to their abbreviated forms ('NA', 'SAI, 'EU'). The other options are incorrect because they either miss mapping some values or reverse the mapping, which doesn't achieve the desired abbreviation.

Option B is the correct answer. It uses the MAXDEC=2 option to specify the desired decimal places for the output statistics. The CLASS statement identifies the 'customer_group' variable, and the VAR statement specifies the 'amount' variable for analysis. The OUTPUT statement creates a new dataset called 'avg_purchases' with the average purchase amount for each customer segment, stored in the variable 'avg_amount'. Option A uses a FORMAT statement outside the PROC MEANS step to control the formatting, which is not the most efficient approach and can lead to issues if the variable is further used in other analyses. Option C is missing the RUN statement for the PROC MEANS step. Option D uses a PROC PRINT step to display the results, but it does not use the MAXDEC= option within PROC MEANS to ensure the desired formatting. Option E is similar to option D but tries to format the output dataset directly in the PROC PRINT step, which is not the intended purpose. Option B correctly implements the MAXDEC= option within PROC MEANS, which directly controls the formatting of the output statistics.

Options B and E correctly demonstrate how to incorporate the department name from the 'dept_info' data set into the report title. Option B uses the CALL SYMPIJT function to create a macro variable 'dept' with the value of 'dept_name' from the data set. Option E uses PROC SQL to retrieve the 'dept_name' value into a macro variable ':dept Both approaches effectively create a macro variable containing the department name, which can then be used in the TITLE statement. Option A attempts to directly assign the 'dept_name' value to the macro variable but doesn't correctly access it from the data set. Option C tries to create a macro but doesnt correctly pass the 'dept_name' value as an argument. Option D attempts to create a macro variable 'dept' but doesn't correctly assign the value from the data set.