Your company wants to offer an audio service to the customer uploaded documents. Your application writes the data to Amazon S3 and the S3 put events are stored in Amazon Simple Queue Service (SQS) queue for further processing. A document goes through various stages of processing to extract the text and convert the text file to audio. As the amount of time for each operation is dependent up on the size of the uploaded document, your architect recommended to use a meta data store that will support key-value format.Which one of the following AWS managed services support the recommended data store?Amazon DynamoDB. It is a managed No SQL DB service and supports persistent data store.Amazon Neptune. It is a managed Graph DB service and supports persistent data store.Amazon Aurora database. It is a managed Amazon Relational Database Service (Amazon RDS) database service and supports persistent data store.Amazon Simple Storage Service (Amazon S3). It is a managed Object storage service and supports persistent data store.
Question
Your company wants to offer an audio service to the customer uploaded documents. Your application writes the data to Amazon S3 and the S3 put events are stored in Amazon Simple Queue Service (SQS) queue for further processing. A document goes through various stages of processing to extract the text and convert the text file to audio. As the amount of time for each operation is dependent up on the size of the uploaded document, your architect recommended to use a meta data store that will support key-value format.Which one of the following AWS managed services support the recommended data store?Amazon DynamoDB. It is a managed No SQL DB service and supports persistent data store.Amazon Neptune. It is a managed Graph DB service and supports persistent data store.Amazon Aurora database. It is a managed Amazon Relational Database Service (Amazon RDS) database service and supports persistent data store.Amazon Simple Storage Service (Amazon S3). It is a managed Object storage service and supports persistent data store.
Solution
The recommended data store for this use case would be Amazon DynamoDB. Amazon DynamoDB is a managed NoSQL database service that provides fast and predictable performance with seamless scalability. It supports key-value and document data structures, making it a suitable choice for a metadata store in this scenario.
While Amazon Neptune, Amazon Aurora, and Amazon S3 are all managed AWS services that support persistent data storage, they may not be the best fit for this specific use case.
Amazon Neptune is a graph database service, which is optimized for storing billions of relationships and querying the graph with milliseconds latency. It's not typically used for key-value storage.
Amazon Aurora is a relational database service (RDS) that is compatible with MySQL and PostgreSQL. It's a great choice for structured data and complex queries, but may not be as efficient for simple key-value storage.
Amazon S3 is an object storage service that is great for storing and retrieving any amount of data at any time. However, it's not designed for storing key-value pairs as a metadata store.
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