AWS Certified Data Analytics Specialty 2021 - Hands-On! - Amazon DynamoDB Streams

The video tutorial explains how to use DynamoDB streams to track changes in a DynamoDB table. It covers the applications of streams, such as sending welcome emails, creating derivative tables, and inserting data into Elasticsearch. The tutorial also discusses data retention limits, batch size configuration, and the use of AWS Lambda and Kinesis adapter for consuming streams. Finally, it provides guidance on managing and enabling streams in DynamoDB.

What is one of the primary uses of AWS Lambda with DynamoDB streams?

• To store data permanently

• To increase database capacity

• To backup data to S3

• To send real-time notifications

What is the maximum data retention period for DynamoDB streams?

• 12 hours

• 72 hours

• 24 hours

• 48 hours

Which library can be used as an alternative to AWS Lambda for consuming DynamoDB streams?

• AWS SDK

• Kinesis Client Library (KCL)

• Amazon S3

• AWS CloudFormation

What types of data can be included in a DynamoDB stream?

• Keys only

• New image only

• Old image only

• All of the above

What is a key feature of managing DynamoDB streams?

• They can be enabled or disabled as needed

• They automatically scale with database size

• They require manual data backup

• They have unlimited data retention