The correct answers are: B. Amazon RDS and D. Amazon Redshift.
Amazon S3 Glacier (option A) is a storage service for archiving data that is infrequently accessed and for which retrieval times of several hours are acceptable. It is not suitable for data that changes frequently. AWS Snowball (option C) is a data transfer service that enables the transfer of large amounts of data into and out of AWS using physical devices. It is not designed for reading and writing data that changes frequently. Amazon Elastic File System (Amazon EFS) (option E) is a fully managed file storage service for use with Amazon EC2 instances. It is designed for storing and sharing files, and is not suitable for storing data that changes frequently.
B& E
Amazon RDS is a managed relational database service that is designed for transactional workloads where data is frequently read and written.
Amazon EFS is a fully managed network file system that provides scalable storage for applications that require frequent read and write access to data.
A and E
Not D because Amazon Redshift is a fully managed data warehouse service, and while it supports data analytics queries well, it is not optimized for frequent read and write operations on individual records or rows. It is more suited for analytical processing on large datasets.
A. Amazon S3 Glacier is for long-term data archival and is designed for data that is infrequently accessed. It is not ideal for frequently changing data.
C. AWS Snowball is a physical data transport solution for large-scale data transfer and migration. It's not for reading and writing frequently changing data.
D. Amazon Redshift is a data warehousing service, which is optimized for querying and analyzing large datasets. It's not typically used for frequently changing data.
Amazon RDS is a fully-managed relational database service that offers a wide range of database engines, including MySQL, PostgreSQL, Oracle, and SQL Server. RDS is a good choice for read and write data that changes frequently because it provides high availability, scalability, and performance.
Amazon EFS is a fully-managed file system that provides a simple, scalable, and secure way to share files between Amazon EC2 instances. EFS is a good choice for read and write data that changes frequently because it provides low latency and high throughput.
B. Amazon RDS (Relational Database Service): Amazon RDS is a fully managed relational database service that provides scalable and reliable database solutions. It supports popular database engines like MySQL, PostgreSQL, Oracle, and SQL Server. You can perform frequent read and write operations on the data stored in an Amazon RDS database.
E. Amazon Elastic File System (Amazon EFS): Amazon EFS is a scalable file storage service that provides shared file storage for multiple Amazon EC2 instances. It is suitable for use cases where multiple instances need concurrent read and write access to the same data. Amazon EFS allows you to handle data that changes frequently and enables multiple users to access and modify the data simultaneously.
Therefore, the correct choices are B. Amazon RDS and E. Amazon Elastic File System (Amazon EFS).
For reading and writing data that changes frequently, a company should use Amazon RDS (B) and Amazon Elastic File System (Amazon EFS) (E).
Amazon RDS is a managed relational database service that supports multiple database engines, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. It is designed for applications that require frequent updates to the data.
Amazon EFS is a fully managed file system that supports the NFSv4 protocol. It is designed for applications that require shared access to files and require frequent updates to the data.
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