A fraud detector must decide within one second after receiving an event.
Multiple consumers need independent reads, short retention, and the option to replay data.
Which data store is most appropriate?
Use Amazon Kinesis Data Streams for low-latency ingestion with multiple independent consumers and retention.
Detailed explanation
A crawler discovers schemas periodically and does not process events in real time.
A crawler discovers schemas periodically and does not process events in real time.
Kinesis provides low-latency stream ingestion, retention, and independent consumer reads.
Kinesis provides low-latency stream ingestion, retention, and independent consumer reads.
Spectrum analyzes S3 data but is not a sub-second event-ingestion layer.
Spectrum analyzes S3 data but is not a sub-second event-ingestion layer.
Archive retrieval is not suitable for sub-second event decisions.
Archive retrieval is not suitable for sub-second event decisions.
Check official documentation
Compare the following points with the official documentation.
Kinesis Data Streamsの低遅延、保持、コンシューマー、Enhanced Fan-Outを確認する。
What to confirm
ストリーム取り込みとバッチ・カタログ・アーカイブの違いを説明できる。
Key points
- Kinesis Data Streams
- Streaming
- Low latency
- Consumers
Notes
- Environment: AWS公式DEA-C01試験ガイドと各サービスの公式ドキュメントの確認
- Confirm current AWS service behavior in the official DEA-C01 documentation.
Foundation review
Stream versus batch
Sub-second decisions require a continuous ingestion path rather than periodic scans.
Consumer isolation
Independent consumer positions let services process the same stream at different rates.