A company is planning on sending and storing historical data for an application in a Redshift cluster. Below is the table structure. It basically stores the orders received for an application.
Order ID
Product ID
Order Value
Timestamp
Most of the queries fired will try to see the recent orders placed. Which of the following column would be ideal for the sort key for the table?

Answer options:

A.Order ID
B.Product ID
C.Order Value
D.Timestamp

Answer - D
The best practices are provided in the AWS Documentation
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Choose the Best Sort Key
Amazon Redshift stores your data on disk in sorted order according to the sort key. The Amazon Redshift query optimizer uses sort order when it determines optimal query plans.
If recent data is queried most frequently, specify the timestamp column as the leading column for the sort key.
Queries are more efficient because they can skip entire blocks that fall outside the time range.
If you do frequent range filtering or equality filtering on one column, specify that column as the sort key.
Amazon Redshift can skip reading entire blocks of data for that column. It can do so because it tracks the minimum and maximum column values stored on each block and can skip blocks that don`t apply to the predicate range.
If you frequently join a table, specify the join column as both the sort key and the distribution key.
Doing this enables the query optimizer to choose a sort merge join instead of a slower hash join. Because the data is already sorted on the join key, the query optimizer can bypass the sort phase of the sort merge join.
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Since the AWS Documentation already provides the recommendations, the best option for the sort key would be the timestamp column.
For more information on best practices for sort key, please refer to the below URL
https://docs.aws.amazon.com/redshift/latest/dg/c_best-practices-sort-key.html