AWS Certified Data Analytics Specialty 2021 - Hands-On! - Kinesis Data Streams Versus Amazon Simple Queue Service (Amazo

The video tutorial provides a detailed comparison between AWS Kinesis and SQS, highlighting their features, use cases, and differences. Kinesis is ideal for big data streaming and real-time analytics, offering features like data retention and ordering at the shard level. SQS is used for decoupling applications, with options for FIFO queues to maintain order. The tutorial also compares Kinesis Data Streams, Firehose, and SQS in terms of scaling, data retention, and payload size. It concludes with practical use cases and exam preparation tips, emphasizing the importance of understanding these services for AWS certification.

What is a key feature of Kinesis data streams that allows multiple applications to read from the same stream?

• Data retention

• Pub-sub model

• FIFO queues

• Dynamic scaling

Which feature of SQS allows for message ordering but with decreased throughput?

• Standard queues

• FIFO queues

• Dynamic scaling

• Extended SQS clients

What is the maximum message payload size for Kinesis Data Streams?

• 256 kilobytes

• 2 megabytes

• 128 megabytes

• 1 megabyte

Which AWS service is typically used for real-time data analytics and big data streaming?

• Amazon SNS

• Amazon RDS

• Amazon SQS

• Amazon Kinesis

What is a common use case for Amazon SQS?

• Real-time data analytics

• Mobile data metrics

• Complex stream processing

• Decoupling applications