A. Create two tables: with 'PRODUCT_ID as the primary key, storing the current product information, and 'PRODUCTS_HISTORY' with 'PRODUCT ID', 'EFFECTIVE DATE, and 'END DATES columns, where the combination of 'PRODUCT and 'EFFECTIVE DATE' serves as a composite key. Use a scheduled task to copy data from 'PRODUCTS_CURRENT to 'PRODUCTS_HISTORY whenever a product is updated.

B. Create a single table, 'PRODUCTS', with columns 'PRODUCT_ID (primary key), 'PRODUCT_NAME', 'PRODUCT_DESCRIPTION', 'EFFECTIVE_DATE', and 'END_DATE. Whenever a product attribute changes, insert a new row with the updated attribute values and the new 'EFFECTIVE_DATE , setting the 'END_DATE' of the previous record to the ' EFFECTIVE_DATE of the new record.

C. Create a single table, 'PRODUCTS', with 'PRODUCT_ID as the primary key and a 'JSON' column to store the historical product data. Use a stored procedure to update the ' JSON' column whenever a product attribute changes.

D. Create a single table, 'PRODUCTS', with columns 'PRODUCT_ID (primary key), 'PRODUCT NAME, 'PRODUCT DESCRIPTION', 'EFFECTIVE DATE and 'END_DATE. Implement clustering on 'PRODUCT_ID' and 'EFFECTIVE_DATE'.

E. Create a single table, 'PRODUCTS', with columns 'PRODUCT ID, 'PRODUCT NAME', 'PRODUCT DESCRIPTION', 'EFFECTIVE DATE, and 'END_DAT Add a sequence to act as a surrogate key and define this sequence as the primary key.