How is data integrity achieved? Select the two correct answers.By converting all unstructured data into structured dataThrough ongoing error checking and validation routines as data is collectedBy implementing a set of rules when a database is first designedBy including all types of data regardless of typeBy fully migrating all types of data into a database

The two correct answers for achieving data integrity are:

1. Through ongoing error checking and validation routines as data is collected: This process ensures that the data entered into the database is accurate, valid, and consistent. It involves checking the data for errors at the time of data entry and correcting them immediately. This can be done through various methods such as data validation rules, constraints, and checks.

2. By implementing a set of rules when a database is first designed: This involves defining the structure, relationships, and constraints of the data at the time of database design. These rules help in maintaining the accuracy and consistency of data. For example, defining a field in a database as 'integer' will ensure that only integer values can be entered into that field.