AWS Certified Data Analytics Specialty 2021 – Hands-On - Kinesis Data Streams Versus SQS

The video tutorial explains the differences between AWS Kinesis Data Streams and SQS. Kinesis is a big data tool that allows multiple applications to consume data streams, supporting features like ordering and replay. SQS is a queue service used to decouple applications, with features like message delay and dynamic scaling. The tutorial compares these services, highlighting their use cases and capabilities, such as data retention, scaling, and throughput.

What is a key feature of Kinesis Data Streams that allows data to be consumed multiple times?

• Data is stored in a dead letter queue

• Data is deleted immediately after consumption

• Data retention allows multiple consumptions

• Data is only available to one application

Which of the following is true about SQS standard queues?

• They process messages independently

• They have a fixed scaling limit

• They allow multiple reading applications per queue

• They guarantee message ordering

What is the maximum data retention period for Kinesis Data Streams?

• 14 days

• 365 days

• 0 days

• 30 days

Which AWS service is best suited for real-time data analytics?

• Kinesis Data Firehose

• SQS FIFO

• Kinesis Data Streams

• SQS Standard

What is a primary use case for SQS?

• Mobile data capture

• Complex event processing

• Decoupling applications

• Real-time data analytics