What is the role of Amazon Kinesis in AWS data streaming?

• A. Collect, process, and analyze real-time streaming data; integrates with Lambda, Firehose, and analytics tools
• B. Store large archival data in a data lake
• C. Provide relational database storage
• D. Manage container orchestration

Answer: (C)

Kinesis is designed for real-time data streaming, handling data as it arrives. Its role is to collect streaming data, enable quick processing, and support real-time analysis or actions. It integrates with Lambda for event-driven processing, with Kinesis Data Firehose for delivering data to destinations like S3, Redshift, or Elasticsearch, and with analytics tools to perform live analytics on the streaming data. This makes it ideal for use cases like real-time dashboards, clickstream analysis, or live sensor data processing.

The other options describe different AWS services: storing large archival data in a data lake is a job for object storage like S3 (often with Lake Formation), providing relational database storage is what RDS/Aurora do, and managing container orchestration is the realm of ECS or EKS.