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A company stores a large volume of critical data in Amazon RDS for PostgreSQL tables.

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A company stores a large volume of critical data in Amazon RDS for PostgreSQL tables. The company is developing several new features for an upcoming product launch. Some of the new features require many table alterations.

The company needs a solution to test the altered tables for several days. After testing, the solution must make the new features available to customers in production.

Which solution will meet these requirements with the HIGHEST availability?

A.

Create a new instance of the database in RDS for PostgreSQL to test the new features. When the testing is finished, take a backup of the test database, and restore the test database to the production database.

B.

Create new database tables in the production database to test the new features. When the testing is finished, copy the data from the older tables to the new tables. Delete the older tables, and rename the new tables accordingly.

C.

Create an Amazon RDS read replica to deploy a new instance of the database. Make updates to the database tables in the replica instance. When the testing is finished, promote the replica instance to become the new production instance.

D.

Use an Amazon RDS blue/green deployment to deploy a new test instance of the database. Make database table updates in the test instance. When the testing is finished, promote the test instance to become the new production instance.

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