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How can a solutions architect ensure that customer data is stored during database upgrades in an AWS environment where Lambda functions are used to save data to an Amazon Aurora MySQL database, and database upgrades cause connection failures?
A
Use an Amazon RDS proxy for Lambda function database connections.
B
Extend Lambda function execution time and implement a database write retry mechanism.
C
Utilize Lambda local storage for temporary data persistence with a separate function for database synchronization.
D
Implement an Amazon SQS FIFO queue for data storage and a Lambda function for subsequent database storage.
