Which is the scalable, long-lasting, and low-cost streaming data solution from Amazon?

• A. Amazon Kinesis Data Analytics
• B. AWS Glue
• C. AWS Data Exchange
• D. Amazon Kinesis Data Streams

Answer: (D)

The main idea being tested is finding the AWS service best suited for scalable, real-time ingestion of streaming data that can also support long-term durability at a low cost.

Amazon Kinesis Data Streams lets you ingest large volumes of streaming data from many producers and scale capacity by adding or removing shards. Each shard provides a defined throughput, and you pay only for the capacity you use, making it cost-effective as you grow. The data in the stream is stored for a configurable retention window (up to seven days), which enables you to reprocess or replay data if needed, supporting reliable processing and backfill scenarios. Although the stream itself isn’t long-term archival storage, you can easily route data to cheaper storage like Amazon S3 using Kinesis Data Firehose for long-term retention, creating a complete, low-cost end-to-end solution.

The other options don’t fit as well for this combination. Kinesis Data Analytics focuses on real-time processing of streaming data rather than ingestion and long-term storage. AWS Glue is an ETL and data catalog service designed for batch processing and data preparation rather than streaming ingestion. AWS Data Exchange is a marketplace for sharing datasets, not a streaming ingestion platform. So the service that provides scalable streaming data intake with durable retention—and can be paired with other services for long-term storage—is the streaming data service described above.