A company wants to move its data warehouse application to the AWS Cloud. The company wants to run and scale its analytics services without needing to…

Amazon Redshift Serverless is the optimal service for this scenario. It is a fully managed, serverless data warehouse that allows users to run and scale analytics without provisioning or managing the underlying infrastructure. It automatically handles the provisioning of resources, scaling capacity up or down to meet workload demands, and patching software. This directly aligns with the company's requirement to move its data warehouse application and avoid the operational overhead of managing clusters, paying only for the compute used.

A. Amazon Redshift provisioned data warehouse requires the user to manually provision, configure, and manage clusters (node types, number of nodes), which contradicts the requirement to avoid cluster management.

C. Amazon Athena is a serverless interactive query service for data in Amazon S3, not a comprehensive data warehouse application. It is not designed to host and manage a data warehouse.

D. Amazon S3 is an object storage service. While it can be a data source for a data warehouse, it is not a data warehouse itself and does not run or scale analytics services.

1. Amazon Redshift Documentation: "With Amazon Redshift Serverless

you can run and scale analytics without having to provision and manage data warehouse clusters. Amazon Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads."

Source: AWS Documentation

"What is Amazon Redshift Serverless?"

Section: "Overview of Amazon Redshift Serverless".

2. Amazon Redshift Documentation: In contrast to the serverless option

the provisioned model requires management tasks. "A data warehouse consists of a collection of computing resources called nodes

which are organized into a group called a cluster. Each cluster runs an Amazon Redshift engine..."

Source: AWS Documentation

"Amazon Redshift clusters"

Section: "Clusters and nodes in Amazon Redshift".

3. Amazon Athena Documentation: "Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon Simple Storage Service (Amazon S3) using standard SQL. ... With Athena

there are no clusters to manage and tune..." This clarifies its role as a query service for S3

not a data warehouse.

Source: AWS Documentation

"What is Amazon Athena?".

4. Amazon S3 Documentation: "Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability

data availability

security

and performance." This defines S3 as a storage service

not an analytics or data warehouse platform.

Source: AWS Documentation

"What is Amazon S3?".