Fully Managed AWS Database for Analytics

Answer: B.

Option A is INCORRECT.

DynamoDB is a NoSQL Key-Value database.

Dynamodb is a document database.

Option B is CORRECT.

Redshift is a fully managed data warehouse offering from AWS that allows usage of standard SQL queries and existing BI tools.

Redshift is suitable for OLAP.

Option C is INCORRECT.

Aurora is a MySQL and PostgreSQL-compatible relational database service offering from AWS.

Aurora is suitable for OLTP.

Option D is INCORRECT.

RDS is a distributed relational database service.

Aurora is an RDS service.

https://aws.amazon.com/dynamodb/ https://aws.amazon.com/redshift/faqs/ https://aws.amazon.com/rds/aurora/ https://aws.amazon.com/rds/

The fully managed AWS database offering that is suitable for analytical workloads and can utilize standard SQL queries and existing BI Tools is Amazon Redshift.

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse service that makes it simple and cost-effective to analyze all your data using SQL and your existing business intelligence (BI) tools. It is designed for big data analytics, providing petabyte-scale data warehousing with columnar storage and massively parallel processing.

Redshift allows you to use standard SQL queries to analyze your data and supports popular BI tools such as Tableau, Power BI, and QuickSight. It also integrates with Amazon S3, Amazon EMR, and other AWS services, making it easy to move data into and out of Redshift for processing and analysis.

Amazon DynamoDB is a fully managed NoSQL database service that is optimized for performance and scalability, and is not suitable for analytical workloads that require complex SQL queries. DynamoDB is designed to handle high-traffic web and mobile applications and is ideal for use cases that require low latency and high throughput.

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that is designed for performance and availability. While Aurora is a suitable option for transactional workloads, it is not optimized for analytical workloads and does not provide the same level of performance and scalability as Redshift.

Amazon RDS is a managed relational database service that supports multiple database engines, including MySQL, PostgreSQL, Oracle, and SQL Server. While RDS is a suitable option for transactional workloads, it is not optimized for analytical workloads and does not provide the same level of performance and scalability as Redshift.

In summary, Amazon Redshift is the best option for analytical workloads that require complex SQL queries and support for existing BI tools.