Your company has a requirement to host an application in AWS that requires access to a NoSQL database. But there are no human resources available who can take care of the database infrastructure. In addition to this, the database should have the capability to scale automatically based on demand and also have high availability. Which of the following databases would you use for this purpose?

Answer options:

A.DynamoDB
B.ElasticMap Reduce
C.Amazon RDS
D.Amazon Aurora

Answer – A
The AWS Documentation mentions the following
Amazon DynamoDB is a nonrelational database that delivers reliable performance at any scale. It`s a fully managed, multi-region, multi-master database that provides consistent single-digit millisecond latency, and offers built-in security, backup and restore, and in-memory caching.
With DynamoDB On-Demand, capacity planning is a thing of the past. You don`t specify read and write capacity at all—you pay only for the usage of your DynamoDB tables. This fits perfectly with the Lambda and Serverless model—I pay more when I have more usage, which means I`m delivering more value to my customers.
Previously, you had to set read and write throughput capacity on your DynamoDB tables. This specified how many and how large of reads and writes you could make on your table in any given second. Read and write capacity units were charged by the hour, and your requests would be throttled if you exceeded your provisioned capacity in any given second.
Option B is invalid since this is used for Big Data
Option C is invalid since here you still have to partially manage the infrastructure
Option D is invalid since this would allow you to host MySQL compatible databases
For more information on DynamoDB, please visit the URL
https://aws.amazon.com/dynamodb/