Amazon DVA-C01 Exam: Easiest Way to Stream Large Data Sets to Amazon S3

Stream Large Data Sets to Amazon S3

Prev Question Next Question

Question

Your company has large data sets that need to be streamed directly into Amazon S3

Which of the following would be the easiest way for such a requirement?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Answer - B.

The AWS Documentation mentions the following.

Amazon Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk.

Option A is partially valid, but since the stream of data needs to go directly into S3, Firehose can be used instead of Kinesis streams.

Option C is invalid because this is used as a petabyte warehouse system.

Option D is invalid because this is an AWS fully managed NoSQL database.

Reference:

https://docs.aws.amazon.com/firehose/latest/dev/what-is-this-service.html

The easiest way to stream large data sets directly into Amazon S3 would be by using Kinesis Data Firehose (Option B).

Kinesis Data Firehose is a fully managed service that can capture and load streaming data into destinations like Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk. It can collect and automatically transform data in real-time, and then send the transformed data to various destinations.

In this scenario, Kinesis Data Firehose can be used to capture the data sets in real-time, transform them as required, and then load them directly into Amazon S3. This process eliminates the need for any intermediate processing or storage layers, making it a straightforward and efficient solution.

Option A, Kinesis Data Streams, can be used to build custom applications that process or analyze real-time streaming data using popular stream-processing frameworks, such as Apache Storm, Apache Spark, and Amazon EMR. However, it would require additional processing steps to store the data in Amazon S3.

Option C, AWS Redshift, is a fully managed data warehouse that can be used for analyzing large datasets. However, it is not an ideal solution for streaming data directly into Amazon S3.

Option D, AWS DynamoDB, is a NoSQL database that is optimized for performance and scale. It is not an ideal solution for streaming data directly into Amazon S3, as it would require additional steps to extract and load data into Amazon S3.

Therefore, the easiest way to stream large data sets directly into Amazon S3 would be by using Kinesis Data Firehose.