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

The video provides an overview of Amazon Kinesis, a real-time data streaming service. It covers Kinesis architecture, including data streams, analytics, and Firehose. The video delves into Kinesis streams, explaining shards, data retention, and immutability. It also discusses consumer types, data limits, and enhanced fan-out capabilities.

What is one of the main advantages of using AWS Kinesis over Apache Kafka?

• It is open-source.

• It provides managed services.

• It is cheaper.

• It has a larger community.

Which Kinesis service is used for real-time analytics using SQL?

• Kinesis Data Pipeline

• Kinesis Analytics

• Kinesis Firehose

• Kinesis Streams

How long does Kinesis Streams retain data by default?

• 7 days

• 12 hours

• 24 hours

• 48 hours

What is a 'Shard' in Kinesis Streams?

• A type of database

• A partition of data

• A storage location

• A data processing unit

What is the maximum size of a data blob in Kinesis Streams?

• 5 MB

• 2 MB

• 1 MB

• 512 KB

Which type of Kinesis consumer allows for higher throughput without API calls?

• Data Pipeline

• Enhanced Fan-Out

• Consumer Classic

• Firehose Consumer

What happens if a producer exceeds the provisioned throughput in Kinesis Streams?

• Data is queued

• Data is automatically scaled

• Provisioned throughput exception occurs

• Data is lost