Which AWS services should a company use to read and write data that (CLF-C02)

Correct answer: B) Amazon RDS and E) Amazon Elastic File System (Amazon EFS).
B - Amazon RDS (Relational Database Service) is a managed database service that supports multiple database engines like MySQL, PostgreSQL, SQL Server, and others. It is suitable for workloads that require frequent reading and writing of data due to its scalability, reliability, and performance.

E - Amazon EFS is a fully managed file storage service that is highly scalable and designed to provide concurrent access to multiple EC2 instances. It is suitable for workloads that require frequent data reads and writes, such as content management systems, web serving, and development environments.

Options A, C, and D are not suitable for scenarios involving frequent data changes:

A - Amazon S3 Glacier is a long-term archival storage service designed for data that is infrequently accessed and has less frequent changes.

C - AWS Snowball is a data transfer service used for moving large amounts of data into and out of AWS. It is typically used for one-time data migration or transfer, rather than for frequent data changes.

D - Amazon Redshift is a data warehousing service optimized for analytics workloads. It is designed for querying and analyzing large datasets rather than for frequent data changes.